Leading-edge analysis for the world’s most important industry.

Position Overview
This position can be based in United States or Asia. We’re hiring a Research Analyst to join our Networking coverage team, building and maintaining the AI Networking Model — the industry’s leading model on datacenter networking architecture, from scale-up, scale-out and scale-across topologies to optics, switching silicon and interconnect economics. This is a cross-functional role requiring you to liaise with members of technical staff, industry partners and financial clients. You’ll turn technical and financial information into research, client deliverables and published content, working full-time in-office alongside a small, fast-moving global team.


Key Responsibilities

• Build and maintain components of the AI Networking Model and Dashboard — covering scale-up/scale-out/scale-across architectures, backplane/midplane and rack designs, and switch/transceiver/connector BOM economics
• Track and model the copper-to-optics transition: pluggables vs. CPO, ZR/ZR+ coherent optics, DWDM, ROADMs/AWGs, and emerging technologies like optical circuit switching (OCS — SiPho, MEMs, liquid crystal)
• Follow earnings calls and disclosures from networking/optics suppliers (e.g. Arista, Cisco, Coherent, ADI) to update models and write analyst notes on design wins, TAM shifts and technology transitions
• Analyze how cost, power, cooling and supply-chain constraints (memory, financing, wafers) interact with networking architecture decisions
• Build and maintain three-statement/industry financial models and scenario-based forecasts; prepare research reports, presentations and client deliverables
• Represent SemiAnalysis at industry conferences, build primary-source relationships with vendors, hyperscalers and technologists, and channel those conversations back into research

Requirements

• 2-3 years of experience in equity research, investment banking, the buy-side, start-up or a similarly analytical environment — Prior knowledge in networking/telecom/hardware is nice to have but not required
• Multi-disciplinary and independent thinkers with a sense of curiosity and interest in technology. We prefer sharp generalists and a technical background is nice to have but not required.
• Proficient in three-statement and industry financial modelling; strong Excel skills essential
• Strong research skills — able to synthesize technical and financial information from multiple sources into clear insights
• Excellent written and verbal communication skills, able to convey complex technical ideas clearly
• Familiarity with AI tools, Python or other analytical tools preferred; PowerPoint and Excel proficiency preferred
• Comfortable working independently with a globally distributed team, and willing to work full-time in-office.

Growth Areas

• Deepen coverage into adjacent domains as the model matures — e.g. expanding from switching/optics into power & cooling economics, or from datacenter networking into broader interconnect (PCIe, CXL, UALink) as networking architectures evolve
• Build direct source relationships with hyperscalers, ODMs and networking vendors, growing from research support into an independent primary-research voice
• Take ownership of specific model components or company coverage (e.g. a named vendor or technology transition) with increasing autonomy over time
• Develop client-facing skills — from supporting deliverables to leading briefings and presenting research directly to clients
• Opportunity to grow into a senior analyst role and team lead as the Networking coverage team scales

Interested candidates should provide a link to a sample excel model (3FS, LBO, Credit, etc.) and writing sample in your resume. Feel free to include a link to your Github if you have one as well.

SemiAnalysis LLC participates in the E-Verify program to confirm the employment eligibility of all newly hired employees. For more information, visit e-verify.gov.

• E-Verify Poster: https://www.everify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf
• Right to Work Poster: https://www.justice.gov/crt/case-document/file/1133936/dl?inline=

Employment Type: Full-time
Work Setting: In office preferred, hybrid considered
Work Location: San Francisco or New York City preferred. We will consider candidates elsewhere in North American time zones.
Work Hours: Office hours
Find out more here: https://semianalysis.com

About SemiAnalysis

SemiAnalysis is an independent research and analysis firm specializing in the Semiconductor and AI industries. Our in-depth coverage spans the entire supply chain, from semiconductor fabrication processes to cutting-edge AI Models, software, and infrastructure. We are recognized as the leading authority on the semiconductor supply chain, with the highest concentration of industry experts within one team, and a deep-rooted passion for delving into the intricacies.

We are a global team of analysts, each with extensive networks across the semiconductor supply chain and AI ecosystem, publishing industry shaping articles while participating in numerous conferences annually.

Our newsletters reach more than 200,000 subscribers worldwide, including senior management and c-suite leaders at the leading semiconductor and AI companies.

We also offer three core products:

• Industry Models – we develop and publish industry models on accelerator shipments, datacentre demand and supply, GPU total cost of ownership, and more. We work with hyperscalers, neoclouds, many of the world’s largest hedge funds, and government agencies.
• Core Research – our public equity markets product, geared towards financial investors, distils our deep technical research and knowledge into key insights on technology and product trends.
• Consulting and Technical Due Diligence – We conduct custom research and project work to guide key strategic and investment decisions for the largest private equity funds, leading venture capital firms, companies across the AI ecosystem, and government agencies.

1) Position Overview

SemiAnalysis is expanding its coverage of neoclouds, neolabs, and AI tokenomics, and we are hiring junior analysts to research GPU cloud providers, AI model developers, and the economics of AI. You will build company datasets, update financial models, and write research alongside senior analysts.

We welcome recent graduates and early-career candidates from finance, consulting, economics, accounting, or other analytical fields. Independent research, internships, and student projects can demonstrate the skills we need. You do not need prior GPU engineering experience. You should enjoy working through unfamiliar subjects and checking whether the numbers support a claim.

Coverage areas:

• Neoclouds: Track GPU fleets, available capacity, rental prices, customer contracts, financing, and datacenter deployments.
• Neolabs: Research emerging AI model developers, their funding, compute access, products, customers, and spending.
• AI Tokenomics: Track model prices, token usage, serving costs, application economics, and demand for AI compute.

You can apply with an interest in one or several areas. Your initial assignments will reflect your strengths and the coverage needs of the team.

The work you would be joining:

• AI Cloud TCO Model – the ownership economics of buying accelerators and selling GPU compute.
• AI Tokenomics Model – our demand-side model tying token throughput, pricing, and usage to accelerator demand.
• ClusterMAX – our independent GPU cloud rating system, which our commercial work draws on.
• Are Open Models Catching Up? – recent published research.
• AI Value Capture: The Shift To Model Labs – recent published research on lab revenue and margins.

2) Responsibilities

• Build and maintain company profiles and datasets with source links and dates.
• Read company disclosures, financial statements, pricing pages, and technical material.
• Reconcile conflicting figures, and distinguish announced, contracted, installed, and available GPU capacity.
• Build spreadsheet models for revenue, operating costs, cash flow, and unit economics.
• Update assumptions when new evidence changes an estimate.
• Prepare questions for company and customer interviews, record the evidence, and follow up on missing information.
• Work with technical staff to understand what benchmark results imply for customer costs and provider economics.
• Draft research notes and charts, explain your calculations, and flag uncertainty.
• Support consulting projects with company comparisons, market research, and financial analysis.

3) Requirements

• Typically zero to three years of relevant experience. Recent graduates and candidates changing careers are welcome.
• Comfort with spreadsheets, basic accounting, percentages, and financial statements.
• Ability to explain a calculation and check its units.
• Clear writing, and care with source records.
• Evidence of interest in AI, technology markets, or business economics through reading, coursework, projects, or work.
• Willingness to ask questions, learn unfamiliar concepts, and revise your work after feedback.

A CS or ML degree, a particular university, and prior employment at a well-known firm are not required. GPU cluster operations, CUDA, and production software engineering are outside this role.

4) Preferred Skills

• Internships or projects in banking, investment research, consulting, accounting, or corporate finance.
• A company model, investment memo, or independently researched article that shows your ability.
• Python and SQL are optional and useful, but not expected.

5) Growth Areas

You will learn to connect financial analysis with evidence about AI systems and how they are used. As your work becomes more independent, you will take responsibility for company coverage and for sections of published research, working directly with the senior analysts on your track.

SemiAnalysis LLC participates in the E-Verify program to confirm the employment eligibility of all newly hired employees. For more information, visit e-verify.gov.

• E-Verify Poster: https://www.everify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf
• Right to Work Poster: https://www.justice.gov/crt/case-document/file/1133936/dl?inline=

Position: Research Analyst Intern, AI Infrastructure & Economics
Employment Type: Internship, fixed term
Work Setting: In office preferred, hybrid considered
Work Location: San Francisco or New York City preferred. We will consider candidates elsewhere in North American time zones.
Work Hours: Office hours
Find out more here: https://semianalysis.com

About SemiAnalysis

SemiAnalysis is an independent research and analysis firm specializing in the Semiconductor and AI industries. Our in-depth coverage spans the entire supply chain, from semiconductor fabrication processes to cutting-edge AI Models, software, and infrastructure. We are recognized as the leading authority on the semiconductor supply chain, with the highest concentration of industry experts within one team, and a deep-rooted passion for delving into the intricacies.

We are a global team of analysts, each with extensive networks across the semiconductor supply chain and AI ecosystem, publishing industry shaping articles while participating in numerous conferences annually.

Our newsletters reach more than 200,000 subscribers worldwide, including senior management and c-suite leaders at the leading semiconductor and AI companies.

We also offer three core products:

• Industry Models – we develop and publish industry models on accelerator shipments, datacentre demand and supply, GPU total cost of ownership, and more. We work with hyperscalers, neoclouds, many of the world’s largest hedge funds, and government agencies.
• Core Research – our public equity markets product, geared towards financial investors, distils our deep technical research and knowledge into key insights on technology and product trends.
• Consulting and Technical Due Diligence – We conduct custom research and project work to guide key strategic and investment decisions for the largest private equity funds, leading venture capital firms, companies across the AI ecosystem, and government agencies.

1) Position Overview

SemiAnalysis is expanding its coverage of neoclouds, neolabs, and AI tokenomics, and we are hiring research analyst interns to support that work. You will support a defined research project with guidance from an analyst, working on GPU cloud providers, AI model developers, or the economics of AI.

No prior full-time experience is required. You can show relevant ability through coursework, independent work, or previous internships.

Coverage areas:

• Neoclouds: Track GPU fleets, available capacity, rental prices, customer contracts, financing, and datacenter deployments.
• Neolabs: Research emerging AI model developers, their funding, compute access, products, customers, and spending.
• AI Tokenomics: Track model prices, token usage, serving costs, application economics, and demand for AI compute.

The work you would be joining:

• AI Cloud TCO Model – the ownership economics of buying accelerators and selling GPU compute.
• AI Tokenomics Model – our demand-side model tying token throughput, pricing, and usage to accelerator demand.
• ClusterMAX – our independent GPU cloud rating system, which our commercial work draws on.
• Are Open Models Catching Up? – recent published research.
• AI Value Capture: The Shift To Model Labs – recent published research on lab revenue and margins.

2) Responsibilities

• Collect and check company, pricing, capacity, and funding data.
• Maintain sources, and distinguish reported facts from estimates.
• Build or update a focused spreadsheet model.
• Draft a short research note and explain the calculations behind it.

3) Requirements

• Comfort with spreadsheets, basic accounting, percentages, and financial statements.
• Ability to explain a calculation and check its units.
• Clear writing, and care with source records.
• Evidence of interest in AI, technology markets, or business economics through reading, coursework, projects, or work.
• Willingness to ask questions, learn unfamiliar concepts, and revise your work after feedback.

Academic work samples are accepted. A CS or ML degree, a particular university, and prior employment at a well-known firm are not required.

4) Preferred Skills

• Coursework or projects in finance, economics, accounting, consulting, or a comparable analytical field.
• A company model, investment memo, or independently researched article that shows your ability.
• Python and SQL are optional and useful, but not expected.

5) Growth Areas

You will finish the internship with a completed research project, a model you built or maintained, and a written note you can explain end to end. Strong interns are a natural pipeline into the Research Analyst, AI Infrastructure & Economics role.

SemiAnalysis LLC participates in the E-Verify program to confirm the employment eligibility of all newly hired employees. For more information, visit e-verify.gov.

• E-Verify Poster: https://www.everify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf
• Right to Work Poster: https://www.justice.gov/crt/case-document/file/1133936/dl?inline=

Position Overview

With an estimated $11 trillion of cumulative AI CapEx through 2029 requiring roughly $7 trillion of debt financing, SemiAnalysis is building its Capital & Markets team to answer critical questions about how this investment will be funded. Our mission is to forecast capital needs across neoclouds, hyperscalers, and AI labs; explain how financing structures must evolve to serve those needs, including shorter-duration demand from AI-native companies; and maintain a comprehensive database of funding, offtake, backstop, guarantee, credit enhancement, and off-balance-sheet arrangements that makes interconnected exposures clear.

We are looking for an experienced markets professional with strong pricing knowledge and established investor relationships. You will assess market conditions, investor appetite, and credit pricing, while helping expand our GPU rental indices across chip types and contract durations and develop token price and inflation benchmarks to support underwriting and risk management.

We welcome candidates from credit sales, sales trading, and trading. This role focuses on market analysis and relationships and does not involve managing a trading book.

Key Responsibilities

• Provide current views on credit pricing and explain the factors driving changes in the market.
• Track new issuance, investor demand, and trading activity to understand how supply and demand affect pricing.
• Build and maintain relationships with credit investors, lenders, and other market participants.
• Assess which investors are likely to be interested in a financing opportunity and what terms they would expect.
• Work with credit analysts to connect their financial analysis with current pricing and investor expectations.
• Communicate market insights clearly and explain their implications for the team’s work.

Requirements

• 5–7 years of experience in credit sales, sales trading, or trading.
• Regular experience pricing debt or discussing pricing with investors and traders.
• Strong understanding of how company fundamentals, supply and demand, and investor activity affect credit pricing.
• An established network across credit markets and a detailed understanding of different investors’ mandates and preferences.
• The ability to form a clear market view, explain the reasoning behind it, and reassess it as conditions change.
• Strong communication and relationship management skills.
• Interest in applying your market experience to analysis and investor relationships without managing trading risk.

Position: Senior Research Analyst, AI Infrastructure & Economics
Employment Type: Full-time
Work Setting: In office preferred, hybrid considered
Work Location: San Francisco or New York City preferred. We will consider candidates elsewhere in North American time zones.
Work Hours: Office hours
Find out more here: https://semianalysis.com

About SemiAnalysis

SemiAnalysis is an independent research and analysis firm specializing in the Semiconductor and AI industries. Our in-depth coverage spans the entire supply chain, from semiconductor fabrication processes to cutting-edge AI Models, software, and infrastructure. We are recognized as the leading authority on the semiconductor supply chain, with the highest concentration of industry experts within one team, and a deep-rooted passion for delving into the intricacies.

We are a global team of analysts, each with extensive networks across the semiconductor supply chain and AI ecosystem, publishing industry shaping articles while participating in numerous conferences annually.

Our newsletters reach more than 200,000 subscribers worldwide, including senior management and c-suite leaders at the leading semiconductor and AI companies.

We also offer three core products:

• Industry Models – we develop and publish industry models on accelerator shipments, datacentre demand and supply, GPU total cost of ownership, and more. We work with hyperscalers, neoclouds, many of the world’s largest hedge funds, and government agencies.
• Core Research – our public equity markets product, geared towards financial investors, distils our deep technical research and knowledge into key insights on technology and product trends.
• Consulting and Technical Due Diligence – We conduct custom research and project work to guide key strategic and investment decisions for the largest private equity funds, leading venture capital firms, companies across the AI ecosystem, and government agencies.

1) Position Overview

SemiAnalysis is expanding its coverage of neoclouds, neolabs, and AI tokenomics, and we are hiring senior analysts to lead it. You will research GPU cloud providers, AI model developers, and the economics of AI compute, build the financial models behind our conclusions, and develop research views that withstand detailed scrutiny.

This role suits candidates from finance or consulting who want to study the companies building and using AI. You will work with our technical staff to connect system performance and operating constraints to business results. You will own an assigned coverage area, and we welcome candidates with depth in one area and an interest in learning the others. There is no fixed number of openings; we are casting a wide net and hiring the strongest analysts we meet.

Coverage areas:

• Neoclouds: GPU cloud providers, capacity deployments, rental pricing, customer contracts, financing, and returns on infrastructure investment.
• Neolabs: Emerging AI model developers, their compute commitments, funding, products, revenue quality, and competitive position.
• AI Tokenomics: The cost of producing and serving AI tokens, model pricing, application margins, adoption, and demand for compute. Tokenomics here refers to AI economics, not crypto.

The work you would be joining:

• AI Cloud TCO Model – the ownership economics of buying accelerators and selling GPU compute.
• AI Tokenomics Model – our demand-side model tying token throughput, pricing, and usage to accelerator demand.
• ClusterMAX – our independent GPU cloud rating system, which our commercial work draws on.
• Are Open Models Catching Up? – recent published research.
• AI Value Capture: The Shift To Model Labs – recent published research on lab revenue and margins.

2) Responsibilities

• Own company and sector research from the initial question through publication or a client presentation.
• Build and maintain financial models using explicit assumptions, documented sources, and downside cases.
• Analyze GPU rental economics, utilization, capex, depreciation, financing costs, and contract terms.
• Evaluate AI lab business models, compute spending, funding needs, and product economics.
• Forecast AI demand from workload volumes, usage patterns, prices, and costs.
• Interview company executives, customers, suppliers, and industry specialists, and check important claims against independent evidence.
• Use ClusterMAX findings and other technical research to assess commercial implications, working with technical staff when interpreting benchmark results or reliability claims.
• Write research that states a conclusion, explains the evidence, and identifies what remains unknown.
• Lead client discussions, and review junior analysts’ models and written work.

3) Requirements

• Experience owning research, financial analysis, or commercial diligence in finance, consulting, corporate strategy, or a comparable role.
• Typically three or more years of relevant experience. We assess demonstrated responsibility and work quality rather than a fixed tenure requirement.
• Ability to build a financial model from incomplete data and explain its key assumptions.
• Evidence of independent judgment, including a view you changed after finding contradictory evidence.
• Clear writing, and the ability to defend a conclusion in a detailed discussion.
• Interest in AI, and willingness to learn how technical constraints affect costs and business results.
• Care with confidential information, and clear records of sources, estimates, and unresolved questions.
• Proficiency in Excel or Google Sheets.

We do not require a particular school, employer, degree, or existing industry network. GPU cluster operations, CUDA, and production software engineering are outside this role, but we do expect you to learn AI infrastructure economics and to question technical claims.

4) Preferred Skills

• Coverage of cloud software, digital infrastructure, semiconductors, or AI.
• Credit analysis, project finance, or commercial diligence experience, which applies directly to this work.
• Backgrounds in investment banking, equity research, asset management, private equity, venture capital, credit, management consulting, transaction advisory, corporate finance, or strategy. Independent researchers and career changers are welcome.
• Python, SQL, and data collection skills are useful, though production coding experience is not required.
• A CS or ML degree is not required. We welcome candidates who can demonstrate the required analytical skills through another field or through independent work.

5) Growth Areas

You will own a coverage plan, the models behind your conclusions, and the quality of your published and client-facing work. You will also help junior analysts improve their research and modeling, and you will have the room to build a franchise in an area that is currently underserved by independent research.

SemiAnalysis LLC participates in the E-Verify program to confirm the employment eligibility of all newly hired employees. For more information, visit e-verify.gov.

• E-Verify Poster: https://www.everify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf
• Right to Work Poster: https://www.justice.gov/crt/case-document/file/1133936/dl?inline=

Position Overview

With an estimated $11 trillion of cumulative AI CapEx through 2029 requiring roughly $7 trillion of debt financing, SemiAnalysis is building its Capital & Markets team to answer critical questions about how this investment will be funded. Our mission is to forecast capital needs across neoclouds, hyperscalers, and AI labs; explain how financing structures must evolve to serve those needs, including shorter-duration demand from AI-native companies; and maintain a comprehensive database of funding, offtake, backstop, guarantee, credit enhancement, and off-balance-sheet arrangements that makes interconnected exposures clear.

We are hiring a credit analyst in New York to combine detailed financial analysis with close reading of financing documents, assessing repayment capacity, creditor protections, and downside outcomes. We are particularly interested in candidates who have analyzed high-yield, distressed, or other complex debt situations and can develop an independent view from the underlying economics of a business.

Key Responsibilities

• Analyze business performance, cash generation, liquidity, and debt obligations.
• Build financial models to assess repayment capacity, refinancing needs, and performance under different scenarios.
• Examine capital structures to understand creditors’ claims on assets and cash flows.
• Read indentures, prospectuses, and related documents to identify covenants, guarantees, security, and other material terms.
• Assess potential creditor recoveries if a company experiences financial distress.
• Write clear credit assessments that explain the key risks, supporting evidence, and assumptions.
• Work with the markets team to understand how your findings affect pricing and investor interest.

Requirements

• 5–7 years of relevant credit analysis experience, ideally as a sell-side desk analyst or buy-side analyst.
• Experience analyzing high-yield, distressed, or other complex debt situations.
• Strong accounting knowledge and financial modeling skills.
• The ability to read and interpret credit documentation independently.
• Sound judgment about repayment risk, capital structures, and downside outcomes.
• The ability to explain and defend an analytical conclusion, identify gaps in the evidence, and revise your view when warranted.
• Strong written communication and close attention to detail.

Employment Type: Full-Time
Work Setting: In-office
Work Location: New York
Work Hours: Office hours
Find out more here: https://semianalysis.com

About SemiAnalysis
SemiAnalysis is an independent research firm focused on semiconductors and AI. We combine technical research, financial analysis, and industry expertise to help investors and technology companies understand these industries and make informed decisions.

Position Overview
With an estimated $11 trillion of cumulative AI CapEx through 2029 requiring roughly $7 trillion of debt financing, SemiAnalysis is building its Capital & Markets team to answer critical questions about how this investment will be funded. Our mission is to forecast capital needs across neoclouds, hyperscalers, and AI labs; explain how financing structures must evolve to serve those needs, including shorter-duration demand from AI-native companies; and maintain a comprehensive database of funding, offtake, backstop, guarantee, credit enhancement, and off-balance-sheet arrangements that makes interconnected exposures clear.
We are hiring two junior analysts, one in New York and one in Singapore, to build financial models, research companies, maintain financing and exposure data, and support GPU rental and token pricing benchmarks. Both analysts will contribute to the same analytical work, coordinating assignments and handoffs across time zones within a team centered in New York.
We welcome recent graduates and candidates with up to three years of experience. Investment banking or sales and trading experience is preferred, including internships. Strong financial modeling skills are essential; prior specialization in credit, semiconductors, or AI is not required.

Key Responsibilities

• Build and update financial models, including cash-flow forecasts and scenario analyses.
• Gather and analyze company financial statements, debt information, and relevant market data.
• Support analysis of business performance, liquidity, financing needs, and debt repayment capacity.
• Check calculations, reconcile information across sources, and document model assumptions.
• Prepare concise summaries, presentation materials, and supporting analysis for lender discussions.
• Coordinate assignments across New York and Singapore, keeping colleagues informed of findings, outstanding questions, and next steps.

Requirements

• Minimum 1 year of relevant full-time work experience, preferably in investment banking or sales and trading. Relevant internships are welcome, and prior full-time experience is not required.
• Demonstrated ability to build financial models in Excel and explain the calculations and assumptions.
• A solid understanding of financial statements and how they connect.
• Strong attention to detail, including the ability to identify and investigate errors or inconsistent information.
• Clear written and verbal communication, particularly when explaining findings and handing work over to colleagues.
• A strong work ethic, reliable follow-through, and the ability to manage deadlines, ask focused questions, and apply feedback.
• No specific industry background, East Asian capital markets expertise, or existing lender relationships are required.

SemiAnalysis LLC participates in the E-Verify program to confirm the employment eligibility of all newly hired employees. For more information, visit e-verify.gov.

• E-Verify Poster: https://www.everify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf
• Right to Work Poster: https://www.justice.gov/crt/case-document/file/1133936/dl?inline=

Employment Type: Full-Time
Work Setting: In-office
Work Location: Singapore
Work Hours: Office hours
Find out more here: https://semianalysis.com

About SemiAnalysis
SemiAnalysis is an independent research firm focused on semiconductors and AI. We combine technical research, financial analysis, and industry expertise to help investors and technology companies understand these industries and make informed decisions.

Position Overview
With an estimated $11 trillion of cumulative AI CapEx through 2029 requiring roughly $7 trillion of debt financing, SemiAnalysis is building its Capital & Markets team to answer critical questions about how this investment will be funded. Our mission is to forecast capital needs across neoclouds, hyperscalers, and AI labs; explain how financing structures must evolve to serve those needs, including shorter-duration demand from AI-native companies; and maintain a comprehensive database of funding, offtake, backstop, guarantee, credit enhancement, and off-balance-sheet arrangements that makes interconnected exposures clear.
We are hiring two junior analysts, one in New York and one in Singapore, to build financial models, research companies, maintain financing and exposure data, and support GPU rental and token pricing benchmarks. Both analysts will contribute to the same analytical work, coordinating assignments and handoffs across time zones within a team centered in New York.
We welcome recent graduates and candidates with up to three years of experience. Investment banking or sales and trading experience is preferred, including internships. Strong financial modeling skills are essential; prior specialization in credit, semiconductors, or AI is not required.

Key Responsibilities

• Build and update financial models, including cash-flow forecasts and scenario analyses.
• Gather and analyze company financial statements, debt information, and relevant market data.
• Support analysis of business performance, liquidity, financing needs, and debt repayment capacity.
• Check calculations, reconcile information across sources, and document model assumptions.
• Prepare concise summaries, presentation materials, and supporting analysis for lender discussions.
• Coordinate assignments across New York and Singapore, keeping colleagues informed of findings, outstanding questions, and next steps.

Requirements

• 0-3 year of relevant full-time work experience, preferably in investment banking or sales and trading. Relevant internships are welcome, and prior full-time experience is not required.
• Demonstrated ability to build financial models in Excel and explain the calculations and assumptions.
• A solid understanding of financial statements and how they connect.
• Strong attention to detail, including the ability to identify and investigate errors or inconsistent information.
• Clear written and verbal communication, particularly when explaining findings and handing work over to colleagues.
• A strong work ethic, reliable follow-through, and the ability to manage deadlines, ask focused questions, and apply feedback.
• No specific industry background, East Asian capital markets expertise, or existing lender relationships are required.

Position Overview

We are seeking a junior Research Analyst – AI Server Hardware & Components to track AI server hardware configurations and component content, providing the ground-truth layer beneath our accelerator, supply chain, and datacenter research.

Every generation of AI servers changes what is inside the box, including accelerators, CPUs, memory, storage, NICs and DPUs, power delivery, cooling systems, PCBs, substrates, cables, and connectors.

This role will be responsible for understanding exactly what ships in each AI server and rack platform, in what quantities, from which suppliers, and how component content changes from one generation to the next.

The research produced in this role will feed directly into SemiAnalysis’ AI server and component supply chain research used by some of the world’s largest investors and semiconductor companies.

This is a remote role, with Taiwan strongly preferred due to its position at the centre of the ODM and component ecosystem and the opportunity for regular in-person engagement with industry contacts. Strong candidates in other locations will also be considered.

Responsibilities

• Track AI server platform configurations across generations and vendors, including NVIDIA NVL-class rack systems, AMD platforms, Google TPU, AWS Trainium, and other custom ASIC systems, down to board-level content.
• Build and maintain detailed bill-of-materials and component-content datasets covering accelerator and CPU counts, memory, storage, networking, NICs, DPUs, switches, optics, connectors, cables, power delivery, cooling systems, PCBs, and substrates.
• Track changes in server and rack architecture across platform generations and identify how these changes affect component requirements and supplier opportunities.
• Monitor the ODM and OEM ecosystem, including Foxconn, Quanta, Wistron, Inventec, Supermicro, and other major server manufacturers.
• Track platform allocations, shipment trends, production developments, and rack integration activity across ODMs and OEMs.
• Monitor component supplier positioning and market-share shifts across the AI server bill of materials, identifying potential winners and losers as platforms transition.
• Conduct supply chain checks and develop relationships with ODMs, component suppliers, distributors, and other industry participants, particularly across Taiwan’s server ecosystem.
• Monitor Taiwanese industry news, monthly revenue disclosures, company earnings calls, and major trade shows including Computex, OCP, and vendor events.
• Surface actionable findings and changes in the AI server supply chain quickly to the wider research team.
• Maintain clean, structured, and consistently updated datasets that can be used across SemiAnalysis research products.
• Contribute to research notes, reports, and newsletter publications alongside senior analysts.
• Support institutional client questions relating to AI server configurations, component content, platform transitions, and supplier exposure.

Requirements

• 0–3 years of experience in industry analysis, equity research, supply chain analysis, hardware engineering, semiconductor research, or a related field.
• Strong recent graduates with demonstrated interest in AI infrastructure and hardware are encouraged to apply.
• Familiarity with AI server hardware and a working understanding of the major components inside a modern GPU server or AI rack.
• Genuine curiosity and willingness to develop deep knowledge of server architecture, component content, suppliers, and platform roadmaps.
• Strong attention to detail and the ability to maintain structured datasets with a high degree of accuracy and consistency.
• Strong analytical skills and the ability to piece together conclusions from fragmented public information, industry checks, and supply chain sources.
• Proficiency in Microsoft Excel.
• Full professional proficiency in written and spoken English, as SemiAnalysis research and publications are produced in English.
• Self-motivated, fast-learning, and comfortable working independently in a remote environment.

Preferred Skills

• Mandarin proficiency.
• Familiarity with Taiwan’s ODM, component supplier, semiconductor, and electronics distribution ecosystem.
• Prior exposure to server teardowns, bill-of-materials analysis, component cost estimation, or hardware benchmarking.
• Familiarity with NVIDIA and AMD AI server platform roadmaps.
• Familiarity with hyperscaler custom silicon programs, including TPU, Trainium, and other internally developed accelerator platforms.
• Understanding of networking components such as NICs, DPUs, switches, optics, cables, and connectors.
• Exposure to AI datacenter power delivery and cooling infrastructure, including liquid cooling, cold plates, and CDUs.
• Experience following Taiwanese monthly revenue disclosures, earnings reports, and supply chain news flow.
• Familiarity with Python for data analysis, automation, or dataset management is a plus.

Growth Areas

This role offers the opportunity to build deep expertise across the AI server and semiconductor hardware ecosystem, including:

• AI server and rack architecture.
• Accelerator and CPU platform roadmaps.
• Memory, storage, networking, power, and cooling content.
• Server ODM and OEM supply chains.
• Component supplier positioning and market-share analysis.
• AI infrastructure bill-of-materials modelling.
• Taiwan semiconductor and electronics supply chain intelligence.
• Hyperscaler custom silicon platforms.
• Datacenter infrastructure and rack-scale system design.
• Industry research, financial analysis, and institutional client communication.

As experience develops, the analyst can take increasing ownership of AI server platform research, component supply chain coverage, supplier forecasts, industry models, and published SemiAnalysis research.

Position Overview

We are hiring a research analyst for our Tokenomics team. Tokenomics is the top of SemiAnalysis’ full stack coverage. Today, we primarily focus on the hyperscalers and frontier labs, but anything related to the development and diffusion of AI is fair game.

Responsibilities

Ultimately, your job is to write research reports for our institutional clients and public newsletters for our Substack. However, the actual process behind writing a report can vary greatly. For example, you might

• Set up and run your own experiments to figure out how important a better CPU is for faster agents
• Synthesize all the information online about open vs closed source pricing trends and explain what this means for the future of the industry
• Work with our engineers to test all the private inference endpoints from companies like Fireworks and Nebius and rank them
• Build your own benchmark to evaluate new model releases
• Work with our Datacenter team to figure out how OpenAI and Anthropic’s share of total compute changes over the next few years

We mean it when we say that “anything related to the development and diffusion of AI is fair game.”

Requirements

• High agency. Strong candidates can independently come up with interesting research ideas and execute on them end to end.
• A basic technical understanding of LLM inference. You should be able to clearly walk through a single forward pass and explain how each step maps onto hardware.
• You follow AI developments and drama in your free time. If you’re not on AI Twitter, it’s probably not a good fit.
• You’re an exceptional writer. You can distill complex technical topics into clear, compelling takeaways for a generalist audience
• You want your career to be a significant source of meaning in your life.

Growth Areas

This role has significant room to expand in scope as the Tokenomics team grows. Depending on your strengths and interests, you could develop into areas such as:

• Owning major research verticals across frontier AI labs, hyperscalers, inference providers, model economics, and AI adoption.
• Building proprietary benchmarks and datasets that become core intellectual property for SemiAnalysis and differentiated resources for institutional clients.
• Deepening technical expertise across LLM inference, model architecture, hardware performance, serving infrastructure, and AI system economics.
• Developing forecasting and market-sizing frameworks to understand how model improvements, pricing, compute availability, and adoption translate into future AI demand.
• Leading cross-functional research with our Datacenter, Semiconductor, Systems, and Engineering teams to connect developments across the full AI stack.
• Becoming a recognized industry expert through flagship institutional research, public writing, and engagement with leading AI companies, investors, and technical experts.
• Shaping the direction of the Tokenomics research agenda, identifying emerging questions before they become consensus topics and turning them into differentiated research.
• Taking increasing ownership of projects and eventually mentoring other researchers as the team expands.

Position Overview

We are seeking a Memory Technology Analyst focused on the process engineering, manufacturing technologies, and product roadmaps underpinning the DRAM, HBM, and NAND industries.

You will serve as our authority on memory process technology, assessing node transitions, scaling bottlenecks, packaging innovation, manufacturing economics, and vendor-by-vendor execution.

Your work will translate complex technical developments into differentiated research for institutional clients and provide critical inputs into our Memory Model, Accelerator & HBM Model, and Wafer Fab Equipment Model.

This role is suited to someone who can move comfortably between semiconductor process technology, manufacturing execution, cost structures, and investment implications.

Responsibilities

DRAM Process Technology

• Analyze and forecast DRAM process-technology roadmaps across major memory manufacturers.
• Evaluate capacitor-scaling limits, high-k/metal-gate integration, and other key process-integration challenges.
• Track EUV insertion by process layer, technology node, and vendor.
• Assess transitions toward 4F² cells, vertical-channel transistor architectures, and longer-term 3D DRAM approaches.
• Evaluate how node transitions affect die size, wafer productivity, yield, cost per bit, and competitive positioning.

NAND Process Technology

• Analyze and forecast NAND layer-count and string-stacking roadmaps.
• Assess channel-hole scaling, high-aspect-ratio etch requirements, wafer bonding, and CMOS-bonded-array architectures.
• Compare the manufacturing, yield, cost, and performance implications of each vendor’s technical approach.
• Evaluate how architecture and process transitions influence bits per wafer, cycle times, capital intensity, and cost per bit.

HBM and Advanced Packaging

• Assess HBM manufacturing and packaging technologies in depth.
• Analyze TSV formation, wafer thinning, stacking, bonding, and interconnect approaches.
• Track the transition from microbump-based packaging toward hybrid bonding.
• Evaluate base-die transitions to external logic-foundry nodes.
• Assess custom HBM architectures, stack-height transitions, known-good-die requirements, and test economics.
• Identify manufacturing and packaging constraints that may affect HBM supply, yields, cost, and qualification timelines.

Competitive Benchmarking

• Benchmark process-technology competitiveness across Samsung, SK hynix, Micron, Kioxia, SanDisk, CXMT, and YMTC.
• Conduct die-size, bits-per-wafer, yield, and cost-per-bit analysis by node and product.
• Assess vendor execution against publicly stated technology roadmaps and manufacturing targets.
• Infer competitive positioning from technical disclosures, patents, academic papers, teardown data, and supplier commentary.

Equipment and Materials Analysis

• Map memory-technology transitions to demand for wafer-fabrication equipment, materials, and process-control tools.
• Work closely with SemiAnalysis’ wafer-fab-equipment, foundry, packaging, and semiconductor research teams.
• Identify potential winners and losers among equipment and materials suppliers.
• Analyze how changes in process complexity, layer counts, lithography intensity, etch requirements, deposition steps, and bonding technologies affect supplier demand.

Research and Industry Coverage

• Track memory-relevant developments presented at IEDM, ISSCC, VLSI, ECTC, and major vendor technology events.
• Translate technical papers, presentations, patents, and disclosures into actionable research.
• Serve as the technical counterpart to our memory-market analysts.
• Pressure-test supply-model assumptions related to node-migration timing, yield ramps, wafer-capacity conversions, and production readiness.
• Author and contribute to major research publications, technical reports, client notes, and newsletter deep dives.
• Present technical findings to institutional investors, semiconductor companies, and other sophisticated industry participants.

Requirements

• 3+ years of experience in process engineering, process integration, research and development, yield engineering, or a closely related semiconductor-manufacturing role.
• Relevant experience at a memory manufacturer, semiconductor-equipment supplier, materials company, technical research organization, or comparable industry-analysis firm.
• Deep functional knowledge of DRAM and/or NAND process flows.
• Strong understanding of front-end-of-line and back-end-of-line semiconductor manufacturing.
• Knowledge of memory-specific process-integration challenges, including:
• Capacitor formation and scaling.
• High-aspect-ratio etch.
• Channel-hole scaling.
• High-k/metal-gate integration.
• TSV formation.
• Wafer thinning and stacking.
• Bonding and interconnect technologies.
• Understanding of advanced packaging as applied to memory, including TSVs, microbumps, hybrid bonding, stacking, test, and known-good-die economics.
• Ability to evaluate competitive positioning using technical disclosures, conference papers, patents, teardown data, and manufacturing evidence.
• Ability to connect process changes to yield, cycle time, die size, wafer productivity, cost per bit, and capital intensity.
• Strong written and verbal communication skills.
• Ability to explain complex process technologies and their economic implications to a sophisticated but non-specialist audience.
• Full professional proficiency in English.

Preferred Skills

• Korean-language proficiency.
• Existing professional relationships across Korean memory fabs, equipment suppliers, packaging companies, and materials manufacturers.
• Hands-on experience working in a semiconductor fab or process-development environment.
• Familiarity with semiconductor analytical and failure-analysis techniques.
• Ability to interpret SEM and TEM micrographs, cross-sectional analysis, electrical-test data, and physical teardown results.
• Familiarity with memory die and stack cost modeling, including wafer cost, die size, yield, test, assembly, packaging, and bonding.
• Experience evaluating lithography, etch, deposition, cleaning, metrology, inspection, and advanced-packaging equipment requirements.
• Understanding of semiconductor-equipment and materials supply chains.
• Experience presenting technical analysis to investors, executives, customers, or other external stakeholders.
• Familiarity with financial or market modeling and an interest in connecting process technology to company and industry outcomes.

Growth Areas

This role offers the opportunity to become a leading authority on the technologies shaping the global memory industry.

Potential growth areas include:

• Taking broader ownership of SemiAnalysis’ memory-technology research and technical roadmaps.
• Becoming the technical lead supporting the Memory, Accelerator & HBM, and Wafer Fab Equipment models.
• Developing deeper expertise in next-generation DRAM, 3D DRAM, advanced NAND architectures, HBM, and hybrid bonding.
• Expanding coverage into semiconductor equipment, materials, advanced packaging, and foundry technologies.
• Leading major technical research reports and proprietary industry investigations.
• Building direct relationships with memory manufacturers, equipment suppliers, materials companies, institutional investors, and industry executives.
• Representing SemiAnalysis at major semiconductor conferences, technical events, client meetings, and industry forums.
• Developing into a recognized external expert on memory process technology and manufacturing economics.
• Mentoring junior analysts and helping build the firm’s technical research capabilities.
• Progressing into a senior analyst, technical research lead, or broader semiconductor-research leadership position.

Position Overview

The Lead Analyst will own and direct SemiAnalysis coverage of wafer fabrication equipment suppliers, chip foundries, and the broader semiconductor manufacturing ecosystem. This role combines deep technical and financial analysis with team leadership, editorial responsibility, and direct client engagement.

The Lead Analyst will lead a small team responsible for coverage spanning equipment suppliers, foundries, materials, and manufacturing process technology.

This role is hybrid, with a primary office location in San Francisco. The analyst is expected to work regularly from the San Francisco office while collaborating with team members across the US and APAC.

Key Responsibilities

• Lead, mentor, and develop a small team of analysts. Set research priorities, assign coverage areas, and ensure quality, rigor, and timeliness of team output.
• Own and direct coverage strategy across wafer fabrication equipment vendors, foundries, and adjacent segments of the manufacturing supply chain.
• Architect, build, and maintain detailed three statement financial and industry models that underpin WFE and foundry coverage.
• Model and forecast equipment spending cycles, foundry capacity, node transitions, and capital intensity trends.
• Serve as lead author on major research publications, including research notes read by key industry decision makers and our newsletter, the #1 technology publication on Substack.
• Advise institutional clients through research notes, private briefings, and direct conversations on semiconductor capital cycles and competitive positioning.
• Represent SemiAnalysis at semiconductor industry conferences and supplier events globally, including events in San Francisco and Asia.
• Perform in depth research on semiconductor manufacturing and AI driven demand trends, including equipment architectures, process technology shifts, and competitive dynamics.
• Maintain authoritative awareness of earnings, product cycles, and technology shifts across coverage companies and translate these into differentiated, actionable research.
• Coordinate workflows and coverage across US and APAC team members.

Qualifications

• 5+ years of experience in equity research, semiconductor industry analysis, or wafer fabrication equipment product management or product marketing at a semiconductor equipment supplier, foundry, or related semiconductor manufacturing company.
• Demonstrated experience managing or mentoring junior analysts with accountability for output quality and timelines.
• Deep understanding of semiconductor manufacturing processes, including lithography, deposition, etch, metrology, advanced packaging, and foundry economics.
• Proven ability to build and audit complex three statement financial models and link them to operational drivers such as capacity, utilization, pricing, and capital intensity.
• Strong grasp of semiconductor capital cycles and equipment demand drivers.
• Advanced proficiency in Excel for financial modeling and data analysis. Familiarity with Python or other data tooling for automation is preferred.
• Experience producing clear, data dense research reports and presentations for institutional audiences.
• Excellent written communication skills, with the ability to explain manufacturing processes, equipment dynamics, and financial implications in precise language.
• Ability to manage multiple workstreams and operate effectively in a hybrid work environment with a San Francisco office base.
• High standards for analytical rigor, integrity, and source transparency. Full professional proficiency in English is required; additional languages are beneficial.
• Undergraduate degree in Engineering, Materials Science, Physics, Finance, Computer Science, Business, or a related technical discipline. Advanced degrees are a plus.

Position Overview

We are seeking an experienced, clever and motivated Semiconductor Manufacturing & Architecture Analyst to join our team in the United States. This role is responsible for the hands-on analysis of manufacturing innovations related to AI and datacenter products, from the system level down to the transistor. This role requires a mix of technical expertise, sensibility, and autonomy. You’ll need to work independently, collaborate across our globally distributed team, and deliver insights on cutting edge manufacturing process and design choices, optimizations, and trade-offs.

Key Responsibilities

• Conduct detailed manufacturing and process analysis of AI and datacenter hardware (e.g., GPUs, ASICs, CPUs, and associated systems).
• Analyze and document semiconductor manufacturing processes, including FEOL, BEOL, and advanced packaging techniques, based on physical inspection and acquired data.
• Identify competitive advantages, disadvantages, and generational changes based on these findings.
• Monitor and report on trends in semiconductor technology, process development, and device research.
• Perform as a recognized authority in the current state of the art in AI and datacenter process architectures.
• Work with design experts and market analysts to develop actionable market insights and reports.

Qualifications

• 3+ years of experience in packaging, BEOL, or FEOL engineering or a reasonably equivalent role, e.g. as a Reliability Engineer, Debug Engineer or Failure Analysis Engineer.
• Direct experience in the broad areas of debug, physical failure analysis, or fault isolation.
• Functional knowledge of process integration or product architecture on advanced nodes.
• Understanding of Design Technology Co-Optimization (DTCO) principles and their application.

Nice to Have

• Experience in process or design R&D related to advanced packaging (e.g., 2.5D/3D), high-speed interconnects, and general advanced compute.
• Broad understanding of advanced manufacturing processes across CMOS logic, memory (HBM, GDDR), and emerging technologies.
• Hands-on experience with sample prep and analytical tools, SEM, (P)FIB, STEM, EMMI/IREM, *BIRCH, nanoprobing, etc.
• Proven ability to interpret analytical data, such as micrographs and materials, to infer process and design characteristics.
• Familiarity with Python for data analysis and complex engineering tasks.
• Strong professional network of experts with whom you comfortably and regularly communicate.
• Strong organizational skills and an understanding of statistics and process controls.

Position Overview

We are seeking a Hardware Research Analyst to join our team in Hillsboro, OR, producing published technical analysis of leading-edge AI and datacenter hardware. You will take products through teardown in our lab and turn physical evidence into the research the industry reads first.

Each product becomes a body of published work, and you write it: the most important stories of the teardown told in technical prose, backed by the complete data and analysis.

The role rewards the analyst temperament. The strongest people in this work follow the industry in real time, keep up with conferences and papers, work their networks constantly, and want their name on research that holds up in front of the people who built the product.

We have several open roles in the lab; apply to the closest fit and we’ll route you.

Responsibilities

• Publish a complete body of work for each product, from the most important stories of the teardown through the full data and analysis.
• Own products end to end: acquisition planning, teardown strategy, lab analysis, interpretation, and publication.
• Analyze hardware at every level: silicon process and die architecture, packaging, memory, power delivery, interconnect, board and system design, and cost.
• Set the analytical plan for each teardown; operate the toolchain and direct more specialized work as needed.
• Maintain contemporaneous coverage of the industry through conferences, papers, patents, and supply chain signals, and bring it into every report.
• Build and work an expert network across the supply chain to test and sharpen conclusions.
• Translate physical evidence into architectural intent, cost structure, and roadmap implications.
• Contribute to the growth and expansion of the lab’s capabilities and output; bring your unique skills to a strong and expansive team.

Requirements

• We are hiring at all experience levels: 2+ years in hardware or silicon engineering, system architecture, or technical industry analysis is preferred; exceptional candidates at any level are encouraged to apply.
• Genuine exposure to leading-edge parts.
• Broad functional knowledge of AI and datacenter hardware: GPUs, CPUs, accelerators, memory, networking, power delivery, and packaging, from die to rack.
• Strong technical writing with work you can show: published articles, papers, or substantial long-form technical documents.
• An established research habit: you already track this industry through conferences, papers, and product launches.
• Ability to reason across layers, from device and circuit through architecture, system, workload, and cost.
• Hands-on experience with, or strong aptitude for, semiconductor sample preparation and analytical tools such as precision polishing, FIB, SEM, and related electron-beam, X-ray, and compositional methods.

Helpful Skills

• Direct engineering experience on leading-edge silicon or systems: design, architecture, validation, silicon debug, failure analysis, or manufacturing.
• Interpreting micrographs, die imagery, and electrical measurements to infer design and process characteristics.
• Cost modeling: die cost, bill of materials, and total cost of ownership.
• Advanced packaging knowledge (2.5D/3D integration, hybrid bonding, HBM, co-packaged optics).
• Python for data analysis and engineering tasks (image analysis, data pipelines, automation).
• A public technical writing track record or existing industry following.
• Conference participation as attendee or presenter (ISSCC, IEDM, VLSI, Hot Chips, ISTFA, PAINE, ECTC, OCP).
• Strong professional network of experts.

Growth Areas

• Deepen coverage of next-generation AI hardware: custom accelerators, chiplet-based designs, HBM, and optical interconnect.
• Build hands-on depth across the lab’s analytical toolchain, from sample preparation through electron microscopy and compositional analysis.
• Grow a public research profile through bylined reports, conference engagement, and standing with industry experts.
• Strengthen collaboration with research, manufacturing, and market teams to translate findings into high-impact strategic insight.
• Progress toward a lead analyst or subject matter expert role with influence over research direction, technical coverage, and industry perspective.

What Makes Someone Great

• You understand hardware broadly and hold the whole stack, from transistor to rack, in view at once.
• Your technical writing holds up under expert scrutiny.
• You respond well to criticisms of and challenges to your technical interpretations.
• You follow this industry because you want to, and it shows in what you already know.
• You can tell what is real and what is artifact in physical data.
• You are drawn to investigate, you ship, and you close your own loops.
• You deliver on your responsibilities and support others in theirs; you treat everyone you work with as a peer and leave concepts of hierarchy at the door.

Location & Authorization

80% onsite in Hillsboro, OR. US work authorization required; no visa sponsorship. Competitive compensation commensurate with experience!

Position Overview

We are seeking a China-focused Research Analyst to translate deep technical and market insight into financial insight on China’s datacenter and AI ecosystem for our institutional clients.

Key Responsibilities

• Contribute to building the SemiAnalysis China Datacenter Industry Model. Built on SemiAnalysis’ world-class expertise of tracking datacenters, the model will track the infrastructure buildout and strategy of Chinese hyperscalers, AI labs, and datacenter developers in China.
• Contribute to building a location-by-location tracker and forecast of the Chinese datacenter industry. Track datacenter self-build, leasing trends, and major AI compute clusters. Understand the supply-demand dynamics of the industry by monitoring key upstream and downstream trends impacting China’s datacenter buildout, such as LLM progress, regulatory developments, and semiconductor constraints.
• Publish concise, data-rich notes, covering the most consequential China datacenter and AI infrastructure developments, policy shifts, and competitive dynamics.
• Engage investor-relations teams, industry executives, and ecosystem participants to deepen our understanding of individual companies and the broader China datacenter and AI Infrastructure landscape.
• Support clients via calls and the SemiAnalysis support portal, delivering timely, well-researched insight on China-related developments.

Qualifications

• 1-5 years of experience in equity research, investment banking, strategy consulting, or a datacenter industry role, with direct exposure to China-focused research or companies.
• Strong working understanding of the China AI infrastructure value chain, including geographical trends, major players, and supply chains.
• Ability and willingness to dig into China-specific disclosures, policy documents, and industry data and translate them into defensible forecasting assumptions.
• Exceptional written communication: clear, analytical, and grounded in data, even when source information is incomplete or opaque.
• Demonstrated ability to build and defend bottoms-up models from limited or fragmented disclosures.
• Comfort operating in a fast-moving news and policy environment, balancing speed with analytical rigor.
• Collaborative mindset; you enjoy working closely with technologists and presenting nuanced views to sophisticated clients.

Growth Areas

• Own and build proprietary models, progressing to full ownership of China datacenter and AI forecasting.
• Strengthen China policy and market insight, translating regulations and disclosures into financial impact.
• Deepen technical AI infrastructure knowledge and connect hardware constraints to business outcomes.
• Lead research publications with high-impact, data-driven reports.
• Expand industry network across China’s ecosystem.
• Drive new research areas in adjacent AI and cloud topics.
• Mentor and contribute to scaling team capabilities and internal frameworks.

Position Overview

We are looking for an experienced and driven Robotics Analyst to join our global team. This role focuses on analyzing how advancements in robotics, automation, and AI are reshaping global manufacturing, logistics, and industrial systems.

As an Analyst, you will lead and contribute to forward-looking research that informs the largest asset managers, technology firms, and industrial companies worldwide. You will identify emerging trends in robotics adoption, assess hardware and software innovation, and map capital flows across automation ecosystems. Your insights will directly inform strategic decisions driving the next generation of intelligent manufacturing and industrial automation.

This is a full-time, onsite position. A Master’s degree (PhD preferred) in engineering, robotics, computer science, or a related technical field. A strong understanding of the robotics and automation landscape — from component supply chains to system integration and software control — is essential.

Key Responsibilities

• Lead research and analysis on robotics, automation, and intelligent systems across industrial, manufacturing, and logistics sectors.
• Produce high-impact research reports, forecasts, and technical briefings for clients, leveraging both public and proprietary data.
• Track and evaluate developments across key areas such as industrial robotics, cobots, autonomous systems, and control software.
• Assess how advances in AI, sensors, edge computing, and simulation are transforming automation capabilities and market structures.
• Collaborate with semiconductor, AI infrastructure, and industrial technology analysts to develop cross-sector insights.
• Support clients including investors, OEMs, automation providers, and policy stakeholders with bespoke insights and thematic research.
• Present findings to senior executives and clients through reports, calls, and conference presentations.

Qualifications

• Master’s degree or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
• 2–5+ years of experience in equity research, investment analysis, strategy consulting, or R&D within robotics, automation, or industrial technology.
• Strong understanding of robotics hardware, software stacks, and market dynamics (e.g., manipulators, vision systems, motion control, and industrial integration).
• Proven ability to translate technical and market data into actionable insights.
• Excellent writing, presentation, and communication skills — capable of producing investment memos, deep-dive reports, and technical primers.
• Proficiency in Excel and familiarity with scripting or data tools (Python, SQL, MATLAB, etc.) is a plus.
• Self-driven, intellectually curious, and able to work independently in a fast-paced, global environment.

Position Overview

We are seeking a highly motivated and skilled Research Analyst to join our team.

The Research Analyst will play a crucial role in developing and publishing our Industry Models.

You’ll work directly with our Director of Research to develop and launch our latest industry model and continue to play a significant role in maintaining and sharing regular updates to our clients.

In addition to your core work on Industry Models, you will represent SemiAnalysis at various industry conferences and events in both Singapore and broader APAC.

You will also play a role in writing and preparing our newsletter articles for publishing, with the opportunity for direct authorship recognition.

The role will be full-time, based in Singapore.

Responsibilities

• Conduct detailed financial analysis and modeling to support our various products, research reports and consulting projects.
• Perform in-depth research on the semiconductor and AI industries, including market trends, technological advancements, and competitive landscapes.
• Follow earnings, news releases, important product trends and technological developments related to coverage industries and companies.
• Assist in the preparation of research reports, presentations, and other deliverables for clients.

Requirements

• 1-5 years of prior work experience in equities research, investment banking or the buy-side.
• Undergraduate degree in Business, Finance, Engineering, Computer Science or other relevant technical field.
• Experience covering companies and technologies in the semiconductor supply chain.
• Demonstrated experience with financial modeling and analysis. Must be proficient in three-statement financial modeling.
• Strong research skills and the ability to synthesize information from various sources to draw insights.
• Proficiency with Excel and financial modeling is essential. Familiarity with Python or other relevant software is preferred. Experience with PowerPoint or other presentation software is highly preferred.
• Excellent written and verbal communication skills, with the ability to convey complex ideas effectively.
• Proactive, self-motivated, and capable of working independently in an international work environment.
• Demonstrates the highest degree of integrity and transparency.
• Proficiency in English is a must; additional languages are a plus.

Growth Areas

• Deepen expertise in semiconductor and AI industry dynamics, including supply chain structures, competitive positioning, and emerging technology trends.
• Develop advanced financial modeling capabilities, including building and maintaining large-scale industry models and scenario-based forecasting.
• Expand research ownership, progressing from supporting analysis to leading coverage areas and publishing independent research.
• Strengthen writing and communication skills, with opportunities for direct authorship and thought leadership in widely read industry publications.
• Build stronger cross-domain knowledge by collaborating with analysts across semiconductors, datacenters, AI infrastructure, and industrial sectors.
• Gain exposure to institutional clients and industry stakeholders through conferences, presentations, and client interactions.

Position Overview

SemiAnalysis is the leading independent research firm at the intersection of semiconductors and artificial intelligence. Our Core Research institutional offering supports hedge funds, long-only asset managers, venture investors, and corporate strategy teams in understanding how technological developments affect company fundamentals.

We are expanding this flagship product and are seeking an Analyst who can translate deep technical insights into clear, actionable financial analysis for institutional clients. The role combines semiconductor and AI industry research, financial modelling, company analysis, and client engagement.

Responsibilities

• Translate proprietary technical research from the SemiAnalysis team into quantitative and qualitative assessments of company revenue, margins, total addressable markets, and competitive positioning.
• Publish concise, data-rich research notes covering the most consequential developments across semiconductors and artificial intelligence, including a recurring weekly note.
• Monitor earnings calls, sell-side conferences, regulatory filings, product launches, and other industry events.
• Identify and communicate important company catalysts and market developments internally and to clients in near real time.
• Build bottom-up financial and industry models using company disclosures, proprietary data, and industry research.
• Partner with technical researchers to develop new research angles, analytical models, and thematic investment frameworks.
• Engage with investor-relations teams, company executives, and industry participants to strengthen company-specific and ecosystem-level research.
• Support institutional clients through calls and the SemiAnalysis support portal by providing timely, insightful, and well-researched responses.
• Manage multiple research priorities and deadlines while maintaining a high standard of accuracy and analytical rigor.

Requirements

• 1–5 years of experience in equity research, investment banking, strategy consulting, or a semiconductor industry role involving significant financial-modelling exposure.
• Working understanding of semiconductor and AI hardware value chains.
• Strong interest in developing deeper knowledge of chip architectures, semiconductor manufacturing, supply chains, and AI infrastructure.
• Demonstrated ability to build bottom-up financial models using limited or incomplete company disclosures.
• Ability to develop, explain, and defend assumptions with analytical rigor.
• Exceptional written communication skills, with the ability to produce clear, concise, persuasive, and data-supported research.
• Ability to work effectively in a fast-moving news environment and manage several deadlines without compromising accuracy.
• Collaborative working style and willingness to brainstorm, challenge ideas, and develop research alongside technical and commercial colleagues.
• Confidence communicating research findings to institutional clients and internal stakeholders.

Preferred Skills

• Previous experience covering semiconductor, AI infrastructure, hardware, or technology companies.
• Familiarity with public-company financial statements, earnings materials, regulatory filings, and investor-relations communications.
• Experience analyzing revenue drivers, gross margins, operating leverage, market share, and competitive positioning.
• Ability to connect technical developments with their financial and investment implications.
• Experience developing market-sizing models, industry forecasts, or company-specific operating models.
• Understanding of semiconductor manufacturing processes, chip architectures, memory, advanced packaging, data-center infrastructure, or AI accelerators.
• Experience producing investment research, thematic reports, company notes, or client-facing publications.
• Strong attention to detail and the ability to identify important information within large volumes of technical and financial material.
• Comfort engaging with company executives, investor-relations teams, investors, and other industry participants.

Growth Areas

• Develop deep subject-matter expertise across semiconductor and AI hardware markets.
• Become a recognized authority on the financial implications of emerging technology and industry developments.
• Expand ownership of company coverage, thematic research, and proprietary financial models.
• Work closely with leading technical researchers to develop differentiated investment frameworks and research products.
• Build direct relationships with institutional investors, company executives, and industry experts.
• Gain exposure to hedge funds, long-only asset managers, venture investors, and corporate strategy teams.
• Take increasing responsibility for client engagement, research strategy, and the direction of SemiAnalysis’s Core Research offering.
• Contribute to research that influences investor views, corporate strategy, and broader industry discussions.
• Grow into a senior analyst or research leadership role as the Core Research product and team expand.

Position Overview

SemiAnalysis is seeking an AI Infrastructure Credit Research Analyst to lead our coverage of how the global AI infrastructure buildout is financed.

This role will examine who is providing capital, how financing arrangements are structured, the terms attached to that capital, and where the underlying financial risk ultimately sits. The analysis will combine SemiAnalysis’s proprietary datacenter and semiconductor supply chain data with detailed balance-sheet, credit, and financial intermediation research.

The successful candidate will build the firm’s coverage of AI infrastructure credit from the ground up, producing definitive research for credit investors, limited partners, financial institutions, regulators, and other market participants.

Responsibilities

Analyze the full financing stack supporting the AI infrastructure buildout, including:

• Hyperscalers balance sheets
• Neoclouds and AI cloud debt
• GPU-backed lending
• Datacenter asset-backed securities
• Project finance
• Private credit funds
• Business development companies
• Special-purpose vehicles
• Vendor financing arrangements

Map financing relationships across the AI ecosystem, identifying:

• Who is lending to whom
• The terms and maturity profiles of the financing
• The structures through which capital is provided
• The parties ultimately holding the credit and asset risk

• Build quantitative models to assess credit risk across AI infrastructure investments.
• Evaluate counterparty exposure, concentration risk, and dependencies across borrowers, lenders, investors, equipment vendors, and infrastructure providers.

Model the value and resilience of collateral, including:

• GPU depreciation and residual value
• Power purchase agreements
• Datacenter leases
• Capacity contracts
• Equipment financing arrangements

• Analyze interest-rate sensitivity, refinancing requirements, maturity walls, covenant structures, and liquidity risks.
• Develop downside and stress scenarios to assess how weaker demand, declining hardware values, delayed construction, power constraints, or tighter financial conditions could affect borrowers and lenders.
• Track the migration of lending activity from regulated banks to nonbank financial institutions.
• Assess how the growth of private credit and nonbank lending changes where financial risk is concentrated and how losses could spread during a downturn.
• Produce flagship research reports and recurring coverage on AI infrastructure financing and credit markets.
• Build proprietary datasets from bank reports, fund filings, corporate disclosures, securitization documents, loan agreements, and other financial sources.
• Work closely with SemiAnalysis’s datacenter, semiconductor, energy, and supply chain teams to ensure financial analysis is grounded in what is physically being built, contracted, delivered, and energized.
• Present research findings to clients and represent SemiAnalysis’s credit views through public writing, meetings, podcasts, conferences, and other industry discussions.

Requirements

• Deep expertise in credit markets, banking, financial intermediation, structured finance, or related areas.

Relevant background may include:

• Bachelors’ Degree in financial economics or a related discipline
• Sell-side credit or macroeconomic research
• Buy-side credit research
• Central bank or financial stability research
• Private credit or structured finance experience
• Equivalent professional research experience

• Strong understanding of corporate, bank, and investment fund balance sheets.

Ability to independently interpret complex financial documents, including:

• Bank call reports
• Corporate filings
• Fund and BDC disclosures
• Asset-backed securities documentation
• Credit agreements
• Project finance structures
• Special-purpose vehicle documentation

• Strong credit judgement and the ability to identify hidden leverage, off-balance-sheet exposure, weak collateral, refinancing risk, and structural subordination.
• Strong empirical and quantitative skills, including the ability to build original datasets and analytical models.
• Ability to validate assumptions, defend methodologies, and clearly explain the limitations of available data.
• Strong written communication skills and the ability to produce clear, rigorous research for a demanding professional audience.
• Ability to work accurately and efficiently under publication deadlines.
• High level of intellectual independence and willingness to publish conclusions that may differ from prevailing market views.

Preferred Skills

Research or investment experience covering:

• Private credit
• Nonbank financial institutions
• Leveraged finance
• Structured credit
• Asset-backed securities
• Project finance
• Financial stability
• Bank and nonbank intermediation

• Understanding of how financial intermediation has evolved since the 2008 global financial crisis.

Named authorship on published research from a:

• Sell-side research team
• Central bank
• Bank economics team
• International Monetary Fund
• Bank for International Settlements
• Policy or financial research institution

• Experience analyzing interest rates and the transmission of monetary policy into lending standards, credit availability, asset values, and refinancing conditions.
• Familiarity with datacenters, semiconductor economics, AI infrastructure, or power markets.
• Experience analyzing infrastructure financing structures or capital-intensive technology investment cycles.
• Proficiency in Python, SQL, Excel, or other tools used for financial modelling and data analysis.
• Experience working with large, fragmented, or difficult-to-structure financial datasets.
• Strong presentation and client communication skills.

Growth Areas

This role offers the opportunity to:

• Define SemiAnalysis’s AI infrastructure credit and financing coverage from the ground up.
• Become a leading industry voice on how the AI buildout is financed and where the associated financial risks are concentrated.
• Build proprietary credit datasets using SemiAnalysis’s unique information on datacenter construction, power availability, accelerator shipments, hardware deployments, and supply chain activity.
• Develop original risk frameworks for emerging financing structures such as GPU-backed lending, neoclouds debt, private credit facilities, and AI infrastructure securitizations.

Expand coverage into adjacent areas such as:

• Datacenter project finance
• Energy infrastructure financing
• Structured credit
• Financial stability
• Private market leverage
• Vendor and equipment financing
• Monetary policy and credit transmission

• Work directly with credit investors, private credit firms, banks, asset managers, limited partners, regulators, and companies involved in financing AI infrastructure.
• Publish research that becomes reference material for the industry and contributes to policy and regulatory discussions.
• Grow into a leadership role overseeing broader credit, financial markets, and capital structure research within SemiAnalysis.

Position Overview

SemiAnalysis is seeking an Economist to connect our proprietary semiconductor, supply chain, and datacenter datasets with the broader macroeconomic picture.

This role will lead the firm’s research on the economics of artificial intelligence, including AI infrastructure investment, productivity growth, labor market effects, economic diffusion, and the contribution of datacenter development to GDP.

The Economist will produce flagship research that informs investors, policymakers, technology companies, and other decision-makers. The ideal candidate combines rigorous economic research, strong quantitative capabilities, and the ability to communicate complex ideas to a broad and sophisticated audience.

Responsibilities

Author flagship, long-form research on the macroeconomics of AI, including:

• AI and datacenter capital expenditure cycles
• Productivity and economic growth effects
• GDP contribution from AI infrastructure development
• Labor market and employment impacts
• The economics and pace of AI adoption and diffusion

• Build quantitative models and forecasting infrastructure that translate complex data into actionable economic insights.
• Develop LLM-driven research and estimation pipelines that convert unstructured information, such as company filings, earnings transcripts, news reports, and planning permits, into structured economic datasets and time series.
• Translate SemiAnalysis’s bottom-up datasets, including accelerator shipments, datacenter capacity, electricity demand, networking infrastructure, and related supply chain data, into top-down macroeconomic estimates.
• Conduct econometric analysis and develop forecasts that can be used by investors, corporations, policymakers, and research institutions.

Engage with leading academic and policy debates involving:

• Transformative AI and long-term economic growth
• AI-driven productivity measurement
• Explosive growth scenarios
• Technological diffusion and innovation economics

• Develop and communicate clear, informed views on where prevailing AI economic frameworks are accurate, incomplete, or incorrect.
• Represent SemiAnalysis’s economic research and perspectives through client discussions, podcasts, conferences, interviews, and public writing.
• Work closely with analysts covering semiconductors, datacenters, energy, networking, and AI systems to produce integrated research.

Requirements

• Bachelors’ Degree in Economics or equivalent professional research experience.

Strong research background in one or more of the following areas:

• Macroeconomics
• Labor economics
• Innovation economics
• Productivity
• Economic growth
• Industrial organization

• Demonstrated ability to produce rigorous economic analysis using real-world and imperfect datasets.
• Strong empirical, econometric, and quantitative modelling skills.
• Proficiency in Python or another relevant programming language, with the ability to independently build data pipelines, models, and forecasting tools.
• Ability to collect, clean, structure, and analyze large amounts of messy or unstructured information.
• Strong written communication skills, with experience producing research for audiences beyond a narrow academic specialization.
• Evidence of widely read research, long-form journalism, essays, publications, or other analytical writing.
• Genuine and informed interest in the economics of AI, including familiarity with transformative AI, productivity, automation, and technological growth debates.
• Ability to work in a fast-paced research environment where accuracy, originality, and speed are equally important.

Preferred Skills

Experience integrating large language models into quantitative research workflows, including:

• Agent-based research pipelines
• Structured data extraction
• Automated classification
• Forecasting and estimation systems

Previous experience at a:

• Central bank
• Government or policy institution
• Sell-side economics research team
• Investment research firm
• Economics-focused publication

• Familiarity with semiconductor manufacturing, AI accelerators, datacenter infrastructure, energy markets, or networking systems.
• Experience translating technical or industry-specific datasets into broader economic indicators and forecasts.
• Strong public communication skills, including experience speaking with clients, appearing on podcasts, presenting research, or engaging with the media.
• Ability to form independent views and challenge established economic assumptions using new evidence.

Growth Areas

This role offers the opportunity to:

• Define and build SemiAnalysis’s economics research coverage from the ground up.
• Become a leading public voice on the macroeconomic consequences of artificial intelligence.
• Develop proprietary economic indicators based on unique semiconductor, datacenter, energy, and supply chain datasets.
• Expand into new research areas such as AI investment cycles, sovereign AI strategies, labor displacement, productivity measurement, and long-term economic growth.
• Build advanced forecasting and research infrastructure using econometrics, machine learning, and LLM-driven workflows.
• Work directly with investors, technology companies, policymakers, central banks, and other institutions shaping the development and adoption of AI.
• Publish research with the potential to move markets, influence corporate strategy, and inform economic policy.
• Grow into a leadership position overseeing economics research, forecasting, and broader macroeconomic coverage within SemiAnalysis.

Position Overview

We are seeking a highly motivated Research Intern to work with our team.

You will work closely with our Singapore-based research team, learning fundamental research methodologies and industry analysis, with hands-on experience in financial modeling and market research.

This role offers exposure to various aspects of our business, including inputs into our Industry Models for semiconductors, AI accelerators, and datacenters.

As part of your internship, you may have the opportunity to attend industry events and conferences in Singapore to learn about the broader ecosystem.

This internship is designed to provide comprehensive training for students interested in pursuing a career in research and industry analysis.

The role is in our Singapore office at Tanjong Pagar.

Responsibilities

• Learn basic financial analysis and modeling techniques through structured training and hands-on practice.
• Assist with research tasks including data collection, market analysis, and industry trend monitoring.
• Help track and organize information from earnings calls, press releases, and industry publications.
• Support the team in preparing presentations, reports, and research materials.
• Participate in team meetings and client calls to observe professional research practices.
• Complete assigned projects that contribute to ongoing research while developing your analytical skills.
• Engage in regular feedback sessions and professional development activities.

Requirements

• Currently studying for an undergraduate degree in Business, Finance, Engineering, Computer Science or another relevant technical field.
• Basic understanding of financial concepts and eagerness to learn financial modeling techniques.
• Strong academic performance with demonstrated analytical and quantitative skills.
• Solid research and analytical skills with the ability to gather information from multiple sources.
• Proficient in Excel and comfortable learning new software tools. Any experience with Python, financial modeling, or data analysis is a plus but not required.
• Familiarity with PowerPoint or similar presentation software preferred.
• Strong written and verbal communication skills with attention to detail.
• Self-motivated learner who can take direction and work collaboratively in a fast-paced environment.
• Demonstrates the highest degree of integrity and transparency.
• Proficiency in English is a must; additional languages are a plus.
• Previous internship experience in finance, technology, or research is beneficial but not mandatory.
• Demonstrated interest in semiconductors, AI, or technology sectors through coursework, projects, or personal interest.

Growth Areas

• Develop a strong foundation in financial modeling, including exposure to industry models and real-world forecasting techniques.
• Build core research skills, including sourcing, synthesizing, and analyzing data across complex technical and market domains.
• Gain domain knowledge in semiconductors, AI infrastructure, and datacenter ecosystems through hands-on project work.
• Improve written and communication skills, with opportunities to contribute to internal research and external-facing materials.
• Develop professional habits in a high-performance research environment, including attention to detail, structured thinking, and analytical rigor.
• Gain exposure to industry professionals, client interactions, and real-world research workflows.
• Potential pathway to a full-time Research Analyst role based on performance and demonstrated capability.

Position Overview

We are seeking an experienced Semiconductor & AI Research Intern to join our team in Hillsboro, OR. This role involves hands-on work involving AI hardware, semiconductor manufacturing processes, mechanical systems, optical systems, and more. This role requires a mix of technical expertise, design sensibility, and autonomy. You’ll work on one or more goal-oriented projects, working with our veteran team of engineers with an opportunity to collaborate across our globally distributed team.

Key Responsibilities

• Configure, build, and program opto-mechanical 3D machine vision systems, automate data acquisition and image reconstruction.
• Developing/applying understanding of optics, machine vision, etc, to VIS automated microscopy platforms.
• Developing automation/standardization solutions, working on ETLs and databases.
• Deconstruction and analysis of advanced AI products.

Qualifications

• Strong fundamentals in the hard sciences, applied physics, engineering.
• A working skillset in at least one programming language, e.g. Python, C++, Rust.
• Interest in semiconductors, electron devices, computer architecture, AI.

Preferred Skills

• A preference for hands-on work and close collaboration.
• Past experience in the semiconductor or AI domains.
• Proven ability to interpret analytical or scientific data.
• Strong organizational skills and an understanding of statistics and process controls.

Employment Type: Full-Time
Work Setting: Hybrid
Work Location: Hillsboro, Oregon, United StatesWork Hours: Office hours
Find out more here: https://semianalysis.com

Position Overview

SemiAnalysis is the leading independent research firm in semiconductors and AI. STEEL is our teardown and characterization lab in Hillsboro, Oregon. We take apart the most advanced AI and datacenter hardware, rack to transistor, and produce detailed insights on how it is built, how it compares, and why. GPUs, custom accelerators, CPUs, HBM, networking silicon, advanced packaging, every leading vendor and foundry. You will engage directly with technical experts across the industry and guide competitive analysis, design, and manufacturing decisions.

This posting covers every technical role in the lab, all experience levels. Industry engagement, conference attendance, and networking are both an expectation and an opportunity.

We have need and opportunity at every layer: from transistor-level process analysis to packaging and interconnects to floorplan and system architecture and integration. The stronger you deliver, the stronger your influence across the industry.

One deep area is a strong application. Genuine excellence in a single area below is enough. Apply.

Example Areas of Expertise

• Process integration, FEOL or BEOL, at leading-edge nodes
• Advanced packaging: 2.5D/3D integration, hybrid bonding, high-speed interconnect
• IC layout and physical design: floorplans, standard cells, P&R, custom/analog
• CPU, GPU, and accelerator architecture and microarchitecture
• Memory: HBM, DRAM, NAND, and their controllers
• Analog/mixed-signal: SerDes, PLLs, PHYs, power management
• Failure analysis and fault isolation: FIB, nanoprobing, emission microscopy
• Electron microscopy and materials characterization: SEM, TEM/STEM, EDS/EELS, SIMS/XPS
• Board, system, and power delivery design
• Silicon bring-up, validation, and debug
• Cost modeling and competitive analysis

The Lab

X-ray, precision cross-section and delayering, FIB, SEM, TEM, compositional analysis, and electrical parametric analysis, purpose-built and expanding. The team is growing and your ideas and output set your scope.

What You’ll Do

• Tear down and characterize leading-edge hardware end to end: acquisition, X-ray, cross-section, delayer, imaging, interpretation
• Convert physical evidence into defensible conclusions on process, packaging, design intent, architecture, and cost
• Publish the complete body of work for each product: headline findings through full data and analysis
• Set the analytical plan per product; operate the toolchain; direct specialized work
• Track the industry through conferences, papers, patents, and your network; apply it to every interpretation
• Shape lab workflows, capabilities, and equipment purchases

What We Need

• Genuine exposure to leading-edge semiconductors, hardware, or systems
• Reasoning from physical evidence to design and process intent
• Technical writing that holds up under expert scrutiny
• Hands-on aptitude for sample preparation, imaging, and analytical instruments
• US work authorization preferred; sponsorship considered for exceptional candidates

Growth

• Breadth across process, packaging, layout, architecture, and systems, every major vendor and foundry
• Conference presence and standing with the industry’s technical leadership
• Scope and role grow with the team and the lab
• Influence over research direction, lab investments, and the teardown queue

What Makes Someone Great

• You understand hardware from transistor to rack
• You respond well to criticisms of and challenges to your technical interpretations
• You already follow the industry: conferences, papers, product launches
• You can tell real structure from artifact
• You investigate, you ship, you close your own loops
• You deliver on your responsibilities and support others in theirs; you treat everyone you work with as a peer and leave concepts of hierarchy at the door

Location & Authorization

75% onsite in Hillsboro, OR. US work authorization strongly preferred; sponsorship considered for exceptional candidates. Competitive compensation commensurate with experience.

About SemiAnalysis

SemiAnalysis is an independent research and analysis firm specializing in the Semiconductor and AI industries. Our in-depth coverage spans the entire supply chain, from semiconductor fabrication processes to cutting-edge AI Models, software, and infrastructure. We are recognized as the leading authority on the semiconductor supply chain, with the highest concentration of industry experts within one team, and a deep-rooted passion for delving into the intricacies.

We’re a global team of over 50 analysts, each with extensive networks across the semiconductor supply chain and AI ecosystem, publishing industry-shaping articles while participating in 40+ conferences annually.

Our newsletter reaches more than 200,000 subscribers worldwide, including senior management and C-suite leaders at the leading semiconductor and AI companies.

We also offer three core products:

Industry Models: we develop and publish industry models on accelerator shipments, datacenter demand and supply, GPU total cost of ownership, and more. We work with hyperscalers, neoclouds, many of the world’s largest hedge funds, and government agencies.

Core Research: our public equity markets product, geared towards financial investors, distills our deep technical research and knowledge into key insights on technology and product trends.

Consulting and Technical Due Diligence: We conduct custom research and project work to guide key strategic and investment decisions for the largest private equity funds, leading venture capital firms, companies across the AI ecosystem, and government agencies.

SemiAnalysis LLC participates in the E-Verify program to confirm the employment eligibility of all newly hired employees. For more information, visit e-verify.gov.

E-Verify Poster: https://www.everify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf

Right to Work Poster: https://www.justice.gov/crt/case-document/file/1133936/dl?inline=

Employment Type: Full-Time
Work Setting: In-office/Remote
Work Location: United States, New York, Mexico, San Francisco, Canada
Work Hours: Office hours
Find out more here: https://semianalysis.com

About SemiAnalysis

SemiAnalysis is an independent research and analysis firm specializing in the Semiconductor and AI industries. Our in-depth coverage spans the entire supply chain, from semiconductor fabrication processes to state-of-the-art AI Models, CUDA kernels, and GPU cloud infrastructure. We are recognized as the leading authority on AI infrastructure, with the highest concentration of industry experts within one team, and a deep-rooted passion for delving into the intricacies.

We’re a global team of over 20 analysts & engineers, each with extensive networks across the semiconductor supply chain and AI ecosystem, publishing industry‑shaping articles while participating in 40+ conferences annually.

Our newsletter reaches more than 200 000 subscribers worldwide, including senior management and C‑suite leaders at the leading semiconductor and AI companies.

Some of industry-shaping articles are:

• InferenceMAX:The world first open inference benchmark that continuous benchmarks performance of popular frontier models
• MI300X vs H100 vs H200 Training: Extensive Benchmarking & Deep Dive into CUDA & ROCm training developer experience & performance
• Trainium2 Architecture & Networking: Deep Dive into Amazon’s new Trainium2 rack scale system & 3D torus scale up topology

Find out more here: https://semianalysis.com

The Role

ClusterMAX™ is the industry-standard GPU cloud rating system — 95% market coverage by volume, 84 providers rated, 209 tracked, and 140+ customer interviews behind each release. We recently published our cluster TCO and goodput framework in How Much Do GPU Clusters Really Cost?, showing that goodput expense alone swings 6–21% of total cluster TCO depending on fault-tolerance approach. We are now testing providers for ClusterMAX 3.0 with expanded benchmarks, security requirements, and analysis.
As an MTS on ClusterMAX, you will build the benchmarks and run the evaluations that determine how the world’s GPU clouds get rated.

What you’ll work on

• Leading development of the next generation of ClusterMAX™ benchmarks: storage IO and bandwidth, NCCL/RCCL collectives, fault-tolerance and goodput measurement, multi-tenant security and isolation testing
• Deploying to and evaluating dozens of GPU clusters across hyperscalers and neoclouds (GB300/GB200 NVL72, B300/B200, H200, MI355X, TPUv7)
• Extending our TCO and goodput methodology (see the ClusterMAX TCO & Goodput calculator) into automated, reproducible tests
• Working with executives and engineers at 200+ neoclouds, hyperscalers, and chip vendors
• Authoring technical research analyzing benchmark results, reliability, security, and ease of use, with direct authorship recognition

What we’re looking for

• Hands-on experience operating GPU clusters: Slurm and/or Kubernetes, InfiniBand/RoCE fabrics, distributed storage
• Strong Python and shell scripting; comfort building benchmark harnesses and CI pipelines
• Understanding of distributed training/inference failure modes — node failures, checkpointing, blast radius, recovery
• Experience similar to our Technical Consultant profile is a plus: due diligence, TCO analysis, and client-facing technical communication
• Security mindset: multi-tenant isolation, bare-metal vs virtualized trade-offs

Why SemiAnalysis?

At SemiAnalysis, you’re placed directly inside the most important conversations shaping the future of AI and semiconductors. You’ll develop a first-principles understanding of the technical and economic dynamics behind the world’s most consequential technology, with rare end-to-end visibility across the entire stack—from silicon and systems to models, software, and real-world deployment. Our work is read and relied upon by the people allocating capital, building infrastructure, and setting strategy across the industry, giving your research and analysis real, measurable impact.

The environment is built for learning and autonomy. You’ll have the freedom to chase interesting ideas, dig into emerging trends early, and continuously expand your technical and economic toolkit, supported by generous PTO, office stipends, competitive healthcare (medical, dental, vision), and support for conferences and ongoing learning.


SemiAnalysis LLC participates in the E-Verify program to confirm the employment eligibility of all newly hired employees. For more information, visit e-verify.gov.

• E-Verify Poster: https://www.everify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf
• Right to Work Poster: https://www.justice.gov/crt/case-document/file/1133936/dl?inline=

Employment Type: Full-Time
Work Setting: In-office/Remote
Work Location: United States, New York, Mexico, San Francisco, Canada
Work Hours: Office hours
Find out more here: https://semianalysis.com

About SemiAnalysis

SemiAnalysis is an independent research and analysis firm specializing in the Semiconductor and AI industries. Our in-depth coverage spans the entire supply chain, from semiconductor fabrication processes to cutting-edge AI Models, software, and infrastructure. We are recognized as the leading authority on the semiconductor supply chain, with the highest concentration of industry experts within one team, and a deep-rooted passion for delving into the intricacies.

We’re a global team of over 50 analysts, each with extensive networks across the semiconductor supply chain and AI ecosystem, publishing industry shaping articles while participating in 40+ conferences annually.

Our newsletter reaches more than 200,000 subscribers worldwide, including senior management and c-suite leaders at the leading semiconductor and AI companies.

We also offer three core products:

• Industry Models – we develop and publish industry models on accelerator shipments, datacentre demand and supply, GPU total cost of ownership, and more. We work with hyperscalers, neoclouds, many of the world’s largest hedge funds, and government agencies.
• Core Research – our public equity markets product, geared towards financial investors, distils our deep technical research and knowledge into key insights on technology and product trends.
• Consulting and Technical Due Diligence – We conduct custom research and project work to guide key strategic and investment decisions for the largest private equity funds, leading venture capital firms, companies across the AI ecosystem, and government agencies.

Position Overview

We are looking for a highly motivated member of technical staff to join our engineering team to work on system modelling on 100k+ chip AI clusters. This is an unique opportunity to work on an high-visibility open source projects to architecture & model performance for the next generation of AI chips. If you’re passionate about performance engineering, system modelling, first principles, and want to work at the intersection of hardware and software, this is a rare chance to make industry wide impact. As part of the interview process, you’ll complete a paid coding challenge designed to reflect typical daily tasks at SemiAnalysis. Competitive Compensation depending on experience, skillset, location & business needs

Responsibilities

• Develop an complex model in Python to predict performance (MFU, tok/s/gpu, tok/s/user) on current & future AI chip projects across both frontier LLM training & inference models
• Implement modern parallelism & inference strategies to generate Pareto frontier roofline curves for performance on each chip
• Develop microbenchmarks across multiple vendors (AMD, NVIDIA, TPU, Trainium) to calibrate the system model to as close to reality as possible
• Build BoM estimates to model performance per total cost of ownership and performance per watt

Requirements

• Strong skills in Python
• Deep understanding about disaggregated prefill, wide expert parallelism, tensor parallelism, pipeline parallelism, sequence parallelism, etc.
• Experience with frontier MoE training and inference workloads
• Knowledgeable about GEMM sizes & proportions of wall time & FLOPs on every major operator in an modern transformer
• Intuition about Amdahl principles, arithmetic intensity, weak & strong scaling
• Previous experience as an ML engineer or kernel programmer

Growth Areas

• Develop deep expertise in large-scale system modelling for AI infrastructure, including performance prediction across hyperscale (100k+ chip) clusters
• Gain a strong first-principles understanding of how hardware, software, and model architectures interact to determine real-world performance
• Build advanced knowledge of parallelism strategies and scaling techniques across frontier LLM training and inference workloads
• Strengthen the ability to translate low-level system behavior into high-level performance insights, including cost efficiency and power optimization
• Gain hands-on exposure to cutting-edge AI hardware across multiple vendors and architectures, staying at the forefront of industry developments
• Contribute to high-impact open source projects and build visibility within the AI and infrastructure engineering community
• Take ownership of complex modelling frameworks and drive independent research directions as you grow within the team
• Develop the ability to influence technical strategy and decision-making through data-driven insights and performance analysis

SemiAnalysis LLC participates in the E-Verify program to confirm the employment eligibility of all newly hired employees. For more information, visit e-verify.gov.

• E-Verify Poster: https://www.everify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf
• Right to Work Poster: https://www.justice.gov/crt/case-document/file/1133936/dl?inline=

Employment Type: Full-Time
Work Setting: In-office/Remote
Work Location: United States, New York, Mexico, San Francisco, Canada
Work Hours: Office hours
Find out more here: https://semianalysis.com

About SemiAnalysis

SemiAnalysis is an independent research and analysis firm specializing in the Semiconductor and AI industries. Our in-depth coverage spans the entire supply chain, from semiconductor fabrication processes to cutting-edge AI Models, software, and infrastructure. We are recognized as the leading authority on the semiconductor supply chain, with the highest concentration of industry experts within one team, and a deep-rooted passion for delving into the intricacies.

We’re a global team of over 50 analysts, each with extensive networks across the semiconductor supply chain and AI ecosystem, publishing industry shaping articles while participating in 40+ conferences annually.

Our newsletter reaches more than 200,000 subscribers worldwide, including senior management and c-suite leaders at the leading semiconductor and AI companies.

We also offer three core products:

• Industry Models – we develop and publish industry models on accelerator shipments, datacentre demand and supply, GPU total cost of ownership, and more. We work with hyperscalers, neoclouds, many of the world’s largest hedge funds, and government agencies.
• Core Research – our public equity markets product, geared towards financial investors, distils our deep technical research and knowledge into key insights on technology and product trends.
• Consulting and Technical Due Diligence – We conduct custom research and project work to guide key strategic and investment decisions for the largest private equity funds, leading venture capital firms, companies across the AI ecosystem, and government agencies.

Position Overview

• Member of Technical Staff will play a crucial role in developing training & inference benchmarks & system modelling.
• You will also play a role in writing and preparing our newsletter articles for publishing, with the opportunity for direct authorship recognition.
• We are hiring individual contributors at all experience levels.
• As part of the interview process, you’ll complete a paid coding challenge designed to reflect typical daily tasks at SemiAnalysis.

Responsibilities

• Conduct training & inference performance benchmarks across various AI hardware (e.g. NVIDIA H100, AMD Mi300X, Google TPUs, AWS Trainium2) using frameworks such as PyTorch, JAX, vLLM, SGLang, etc.
• Author detailed technical research reports analyzing benchmark results, hardware performance, scalability, & efficiency.
• Develop comprehensive system modelling using Python & NCCL for existing & future AI compute clusters, scaling from single-GPU setups to O(100k) GPU clusters.
• Establish and maintain strategic partnerships & collaborations with over 50 leading neocloud providers & AI chip manufacturers, including AMD, NVIDIA, and other industry stakeholders.
• Stay current on emerging trends & technologies by attending major industry & academic conferences such as NeurIPS, MLSys, NVIDIA GTC, AMD’s Advancing AI, etc.

Requirements

• Proactive, self-motivated, and capable of working independently in a global team.
• Demonstrated experience in ML frameworks such as PyTorch or JAX through professional experience, personal projects, or personal Substack blogs.
• Solid understanding of at least 1 of the following: transformer architecture, LLM parallelism strategies, and/or CUDA parallel programming.
• Strong research skills and the ability to synthesize information from various sources to draw insights.
• Undergraduate degree in Computer Science, Engineering or other relevant technical field is not required.
• If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you are passionate about tech & have a great work ethic, SemiAnalysis is the place for you.

Growth Areas

• Develop deep expertise in AI infrastructure, including training and inference optimization across leading hardware platforms and large-scale compute environments
• Gain hands-on experience modelling and scaling distributed systems, from single-node setups to hyperscale GPU clusters
• Build strong technical writing and research capabilities, with opportunities for direct authorship and industry recognition through published work
• Strengthen the ability to translate complex benchmarking and system performance data into clear, actionable insights
• Gain exposure to leading AI hardware vendors, neocloud providers, and industry stakeholders through collaborations and partnerships
• Stay at the forefront of the AI ecosystem through participation in major global conferences and exposure to cutting-edge research
• Take ownership of research areas and technical workstreams, with opportunities to lead projects and drive independent initiatives
• Build a strong personal brand within the AI and infrastructure community through thought leadership and published analysis

How to Apply

To apply, please submit your resume & 5 bullet points demonstrating your engineering excellence.

Qualified candidates will be asked to complete a paid 2-day coding challenge as part of the interview process. We look forward to reviewing your application.

SemiAnalysis LLC participates in the E-Verify program to confirm the employment eligibility of all newly hired employees. For more information, visit e-verify.gov.

• E-Verify Poster: https://www.everify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf
• Right to Work Poster: https://www.justice.gov/crt/case-document/file/1133936/dl?inline=

Employment Type: Full-Time
Work Setting: In-office/Remote
Work Location: United States, New York, Mexico, San Francisco, Canada
Work Hours: Office hours
Find out more here: https://semianalysis.com

About SemiAnalysis

SemiAnalysis is an independent research and analysis firm specializing in the Semiconductor and AI industries. Our in-depth coverage spans the entire supply chain, from semiconductor fabrication processes to state-of-the-art AI Models, CUDA kernels, and GPU cloud infrastructure. We are recognized as the leading authority on AI infrastructure, with the highest concentration of industry experts within one team, and a deep-rooted passion for delving into the intricacies.

We’re a global team of over 20 analysts & engineers, each with extensive networks across the semiconductor supply chain and AI ecosystem, publishing industry‑shaping articles while participating in 40+ conferences annually.

Our newsletter reaches more than 200 000 subscribers worldwide, including senior management and C‑suite leaders at the leading semiconductor and AI companies.

Some of industry-shaping articles are:

• InferenceMAX:The world first open inference benchmark that continuous benchmarks performance of popular frontier models
• MI300X vs H100 vs H200 Training: Extensive Benchmarking & Deep Dive into CUDA & ROCm training developer experience & performance
• Trainium2 Architecture & Networking: Deep Dive into Amazon’s new Trainium2 rack scale system & 3D torus scale up topology

Find out more here: https://semianalysis.com

Position Overview

• We are seeking a highly motivated & skilled Member of Technical Staff to join our growing engineering team.
• Member of Technical Staff will play a crucial role in developing inference benchmarks & system modelling
• You will also play a role in writing and preparing our newsletter articles for publishing, with the opportunity for direct authorship recognition.
• We are hiring individual contributors at all experience levels. Compensation will be competitive
• As part of the interview process, you’ll complete a paid coding challenge designed to reflect typical daily tasks at SemiAnalysis
• Competitive Compensation depending on experience, skillset, location & business needs

Key Responsibilities

• Conduct training & inference performance benchmarks across various AI hardware (e.g. NVIDIA H100, AMD Mi300X, Google TPUs, AWS Trainium2) using frameworks such as PyTorch, JAX, vLLM, SGLang, etc.
• Author detailed technical research reports analyzing benchmark results, hardware performance, scalability, & efficiency.
• Develop comprehensive system modelling using Python & NCCL for existing & future AI compute clusters, scaling from single-GPU setups to O(100k) GPU clusters.
• Establish and maintain strategic partnerships & collaborations with over 50 leading neocloud providers & AI chip manufacturers, including AMD, NVIDIA, and other industry stakeholders.
• Stay current on emerging trends & technologies by attending major industry & academic conferences such as NeurIPS, MLSys, NVIDIA GTC, AMD’s Advancing AI, etc.

Qualifications

• Proactive, self-motivated, and capable of working independently in a global team.
• Demonstrated experience in ML frameworks such as PyTorch or JAX through professional experience, personal projects, or personal Substack blogs
• Solid understanding of at least 1 of the following: transformer architecture, LLM parallelism strategies, and/or CUDA parallel programming
• Strong research skills and the ability to synthesize information from various sources to draw insights.
• English language proficiency required, Chinese language proficiency preferred

Why SemiAnalysis?

At SemiAnalysis, you’re placed directly inside the most important conversations shaping the future of AI and semiconductors. You’ll develop a first-principles understanding of the technical and economic dynamics behind the world’s most consequential technology, with rare end-to-end visibility across the entire stack—from silicon and systems to models, software, and real-world deployment. Our work is read and relied upon by the people allocating capital, building infrastructure, and setting strategy across the industry, giving your research and analysis real, measurable impact.

The environment is built for learning and autonomy. You’ll have the freedom to chase interesting ideas, dig into emerging trends early, and continuously expand your technical and economic toolkit, supported by generous PTO, office stipends, competitive healthcare (medical, dental, vision), and support for conferences and ongoing learning.

SemiAnalysis LLC participates in the E-Verify program to confirm the employment eligibility of all newly hired employees. For more information, visit e-verify.gov.

• E-Verify Poster: https://www.everify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf
• Right to Work Poster: https://www.justice.gov/crt/case-document/file/1133936/dl?inline=

Employment Type: Full-Time
Work Setting: In-office/Remote
Work Location: United States, New York, Mexico, San Francisco, Canada
Work Hours: Office hours
Find out more here: https://semianalysis.com

About SemiAnalysis

SemiAnalysis is an independent research and analysis firm specializing in the Semiconductor and AI industries. Our in-depth coverage spans the entire supply chain, from semiconductor fabrication processes to state-of-the-art AI Models, CUDA kernels, and GPU cloud infrastructure. We are recognized as the leading authority on AI infrastructure, with the highest concentration of industry experts within one team, and a deep-rooted passion for delving into the intricacies.

We’re a global team of over 20 analysts & engineers, each with extensive networks across the semiconductor supply chain and AI ecosystem, publishing industry‑shaping articles while participating in 40+ conferences annually.

Our newsletter reaches more than 200 000 subscribers worldwide, including senior management and C‑suite leaders at the leading semiconductor and AI companies.

Some of industry-shaping articles are:

• InferenceMAX:The world first open inference benchmark that continuous benchmarks performance of popular frontier models
• MI300X vs H100 vs H200 Training: Extensive Benchmarking & Deep Dive into CUDA & ROCm training developer experience & performance
• Trainium2 Architecture & Networking: Deep Dive into Amazon’s new Trainium2 rack scale system & 3D torus scale up topology

Find out more here: https://semianalysis.com

Position Overview

• We are seeking a highly motivated & skilled Member of Technical Staff to join our growing engineering team.
• Member of Technical Staff will play a crucial role in developing inference benchmarks & system modelling
• You will also play a role in writing and preparing our newsletter articles for publishing, with the opportunity for direct authorship recognition.
• We are hiring individual contributors at all experience levels. Compensation will be competitive
• As part of the interview process, you’ll complete a paid coding challenge designed to reflect typical daily tasks at SemiAnalysis
• Competitive Compensation depending on experience, skillset, location & business needs

Key Responsibilities

• Conduct training & inference performance benchmarks across various AI hardware (e.g. NVIDIA H100, AMD Mi300X, Google TPUs, AWS Trainium2) using frameworks such as PyTorch, JAX, vLLM, SGLang, etc.
• Author detailed technical research reports analyzing benchmark results, hardware performance, scalability, & efficiency.
• Develop comprehensive system modelling using Python & NCCL for existing & future AI compute clusters, scaling from single-GPU setups to O(100k) GPU clusters.
• Establish and maintain strategic partnerships & collaborations with over 50 leading neocloud providers & AI chip manufacturers, including AMD, NVIDIA, and other industry stakeholders.
• Stay current on emerging trends & technologies by attending major industry & academic conferences such as NeurIPS, MLSys, NVIDIA GTC, AMD’s Advancing AI, etc.

Qualifications

• Proactive, self-motivated, and capable of working independently in a global team.
• Demonstrated experience in ML frameworks such as PyTorch or JAX through professional experience, personal projects, or personal Substack blogs
• Solid understanding of at least 1 of the following: transformer architecture, LLM parallelism strategies, and/or CUDA parallel programming
• Strong research skills and the ability to synthesize information from various sources to draw insights.
• English language proficiency required, Chinese language proficiency preferred

Why SemiAnalysis?

At SemiAnalysis, you’re placed directly inside the most important conversations shaping the future of AI and semiconductors. You’ll develop a first-principles understanding of the technical and economic dynamics behind the world’s most consequential technology, with rare end-to-end visibility across the entire stack—from silicon and systems to models, software, and real-world deployment. Our work is read and relied upon by the people allocating capital, building infrastructure, and setting strategy across the industry, giving your research and analysis real, measurable impact.

The environment is built for learning and autonomy. You’ll have the freedom to chase interesting ideas, dig into emerging trends early, and continuously expand your technical and economic toolkit, supported by generous PTO, office stipends, competitive healthcare (medical, dental, vision), and support for conferences and ongoing learning.

SemiAnalysis LLC participates in the E-Verify program to confirm the employment eligibility of all newly hired employees. For more information, visit e-verify.gov.

• E-Verify Poster: https://www.everify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf
• Right to Work Poster: https://www.justice.gov/crt/case-document/file/1133936/dl?inline=

Position Overview

We are looking for someone with a deep and genuine obsession with hardware, regardless of where that expertise comes from.

Candidates may have experience in chip architecture, SoC design, memory systems, interconnect PHYs, semiconductor manufacturing, advanced packaging, performance engineering, ML systems, HPC, datacenter infrastructure, networking, power, cooling, or large-scale cluster operations.

What matters most is a first-principles understanding of how modern AI hardware works, from silicon and packaging through racks, networks, and full datacenter systems. The ideal candidate is intensely curious about why certain designs outperform others and can translate technical differences into measurable performance and economic outcomes.

The role focuses on quantitative analysis of AI hardware and systems, including:

• Hardware and system performance
• Architecture evaluation
• Silicon and system cost analysis
• Power and cooling constraints
• Total cost of ownership
• AI infrastructure economics
• Technology assessment across the full hardware stack

The work will support SemiAnalysis products and research, including the Inference Simulator, InferenceX, Tokenomics Model, Accelerator & HBM Model, and AI Cloud TCO research.

The scope of the role will flex toward the candidate’s strengths, with strong performers helping define their own coverage areas.

The central question behind the role is:

For a given model, latency target, and system configuration, how many tokens per second does each chip and architecture deliver, and what does each token cost?

Responsibilities

• Build first-principles performance models for LLM inference and training.
• Analyze arithmetic intensity, roofline performance, prefill and decode behavior, KV cache capacity, memory bandwidth requirements, batching dynamics, parallelism strategies, and latency-throughput trade-offs.
• Evaluate AI hardware across the full technology stack, including GPUs, TPUs, custom ASICs, emerging accelerators, HBM, on-chip SRAM, memory tiering, scale-up fabrics, scale-out networks, racks, pods, and datacenters.
• Assess architecture and system design trade-offs, including compute versus memory bandwidth, interconnect topology, power availability, cooling requirements, and workload suitability.
• Connect semiconductor manufacturing decisions to hardware performance, availability, and cost.
• Analyze process-node choices, die size, reticle limits, advanced packaging, 2.5D integration, 3D stacking, HBM integration, yield, and silicon economics.
• Examine new chip, system, rack, and cluster announcements using specifications, die shots, rack layouts, benchmarks, and network diagrams.
• Develop independent and defensible views on real-world performance compared with vendor claims.
• Validate internal models against published benchmarks and independently gathered performance data.
• Investigate and explain differences between theoretical peak performance and delivered application performance.
• Translate technical analysis into economic metrics, including tokens per second per watt, per dollar of capital expenditure, and per megawatt.
• Contribute to TCO, tokenomics, accelerator, memory, networking, and datacenter research.
• Publish detailed research on AI accelerators, systems, infrastructure, and performance.
• Act as a technical authority during client calls, briefings, and discussions with engineering and investment audiences.
• Collaborate with accelerator, memory, networking, semiconductor, and datacenter analysts to connect silicon-level findings with broader system and industry conclusions.

Requirements

• Deep technical understanding of modern compute hardware at one or more levels of the stack, including silicon, systems, networking, clusters, or datacenters.
• Strong interest in learning unfamiliar parts of the hardware and infrastructure stack.
• Strong quantitative reasoning skills and the ability to work from first principles using FLOPs, bytes, bandwidth, latency, joules, watts, and dollars.
• Ability to build structured models that connect hardware design, workload performance, infrastructure requirements, and economic outcomes.
• Working knowledge of how AI workloads stress hardware, including memory bandwidth, memory capacity, interconnect communication, collective operations, and real-world compute utilization.
• Working understanding of semiconductor manufacturing and economics, including process-node trade-offs, die size, yield, die cost, packaging, and HBM integration.
• Ability to explain why an architecture was designed in a particular way and how those decisions affect manufacturing cost, performance, power, and scalability.
• Strong written communication skills, with the ability to explain complex technical findings clearly to both engineering and investor audiences.
• Ability to take an ambiguous technical question from initial definition through analysis, validation, and publication with minimal oversight.
• Self-driven, intellectually rigorous, detail-oriented, and comfortable challenging assumptions.
• Genuine enthusiasm for computer hardware, semiconductor technology, AI systems, and infrastructure research.

Preferred Skills

• Hands-on experience with AI training or inference frameworks such as vLLM, SGLang, TensorRT-LLM, PyTorch, or JAX.
• Experience with GPU programming or kernel development using CUDA, Triton, or HIP.
• Understanding of transformer inference mathematics, including per-token FLOPs, memory traffic, KV cache sizing, MoE routing, and quantization effects.
• Experience designing, deploying, benchmarking, or operating large GPU or accelerator clusters.
• Knowledge of datacenter networking, rack-scale architecture, power distribution, cooling, or large AI infrastructure deployments.
• Familiarity with training performance metrics and concepts such as model FLOPs utilization, parallelism scaling efficiency, communication overhead, and failure recovery.
• Experience benchmarking heterogeneous hardware, including NVIDIA GPUs, AMD GPUs, TPUs, custom accelerators, or emerging non-NVIDIA platforms.
• Hands-on semiconductor process, foundry, product engineering, yield, packaging, or test experience.
• Experience with die cost modeling, semiconductor manufacturing economics, advanced packaging, or teardown analysis.
• Ability to interpret die shots, packaging layouts, physical specifications, and teardown data to infer architecture and process decisions.
• Prior technical publications, research papers, open-source contributions, benchmarks, hardware teardowns, or industry analysis.
• Experience communicating technical findings directly to clients, executives, engineers, or institutional investors.

Growth Areas

The role provides opportunities to expand beyond an existing area of specialization and develop expertise across the complete AI hardware stack.

Potential growth areas include:

• Expanding from chip-level expertise into rack-scale and datacenter system analysis.
• Developing deeper knowledge of AI inference and training workloads.
• Learning first-principles performance and cost modeling.
• Building expertise in accelerator, HBM, networking, power, cooling, and TCO analysis.
• Connecting semiconductor manufacturing and packaging decisions to system-level performance and economics.
• Developing the ability to evaluate new chips, systems, and infrastructure announcements rapidly and independently.
• Strengthening technical writing and publishing skills.
• Becoming a recognized technical authority with engineering, investment, and industry audiences.
• Leading client briefings and translating complex hardware analysis into strategic and financial conclusions.
• Collaborating across accelerator, memory, networking, semiconductor manufacturing, and datacenter research areas.
• Defining and owning a research coverage area based on individual technical strengths.
• Contributing directly to the development of SemiAnalysis models, simulators, datasets, and research methodologies.

SemiAnalysis LLC participates in the E-Verify program to confirm the employment eligibility of all newly hired employees. For more information, visit e-verify.gov.

• E-Verify Poster: https://www.everify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf
• Right to Work Poster: https://www.justice.gov/crt/case-document/file/1133936/dl?inline=

Position Overview

We’re hiring an IT Specialist to own and support the core IT infrastructure that keeps SemiAnalysis Capital running securely and efficiently. This role will be responsible for managing employee devices, internal systems, access controls, security operations, and the day-to-day technology backbone of the company.

This is a hands-on role for someone who enjoys building clean, scalable systems and solving operational problems before they become bottlenecks. You will work closely with operations, leadership, and the broader team to keep our infrastructure secure, reliable, and aligned with our growth.

This is a full-time role based in the United States.

Responsibilities

• Manage device procurement, configuration, shipping, tracking, maintenance, and lifecycle management for company laptops and IT equipment.
• Support employee onboarding and offboarding processes, including account creation, device provisioning, software setup, access permissions, and secure deactivation of accounts/devices.
• Administer internal software systems, SaaS platforms, licenses, user accounts, and access permissions across the organization.
• Maintain and organize SharePoint environments, shared drives, folder structures, permissions, and internal documentation repositories.
• Implement and maintain IT security processes, including MFA, password management, endpoint security, access reviews, and device security controls.
• Manage role-based access controls to ensure employees have appropriate system access based on business needs.
• Provide day-to-day IT support and troubleshooting for hardware, software, cloud platforms, connectivity, and employee account-related issues.
• Coordinate with IT vendors, software providers, hardware suppliers, and external support partners.
• Develop and maintain IT policies, SOPs, onboarding/offboarding guides, asset trackers, and security documentation.
• Identify opportunities to improve, automate, and scale internal IT workflows and operational processes.

Requirements

• Minimum 2 years of experience in IT support, systems administration, internal IT operations, or related functions.
• Hands-on experience managing employee laptops, software tools, user accounts, permissions, and IT asset inventories.
• Familiarity with productivity and collaboration platforms such as Microsoft 365, SharePoint, Google Workspace, or equivalent systems.
• Understanding of IT security fundamentals, including MFA, password management, endpoint security, and access governance.
• Strong troubleshooting and problem-solving skills across hardware, software, networking, and cloud-based systems.
• Strong organizational skills with high attention to detail.
• Ability to work independently while managing multiple priorities and workflows simultaneously.
• Strong communication skills with a service-oriented mindset when supporting internal employees.
• Full-time role based in the United States.

Preferred Skills

• Experience supporting remote or globally distributed teams.
• Familiarity with device management platforms, MDM solutions, and endpoint security tools.
• Experience managing SaaS licenses, software provisioning, and software access governance.
• Experience designing and documenting IT policies, security procedures, and onboarding/offboarding workflows.
• Exposure to compliance, data security, audit readiness, or access governance processes.
• Experience supporting fast-growing startups, research firms, consulting organizations, financial services firms, or technology-focused companies.

Growth Areas

• Build and scale the internal IT infrastructure for a rapidly growing company operating in the AI and semiconductor ecosystem.
• Take ownership of company-wide device management, security operations, and systems administration processes.
• Develop scalable IT workflows and automation processes that improve operational efficiency across the organization.
• Gain exposure to modern SaaS operations, access governance, endpoint security, and internal infrastructure management.
• Partner closely with leadership and cross-functional teams to shape long-term internal IT operations and security practices.
• Contribute to the foundation of a globally distributed organization with increasing operational complexity and scale.

Position Overview

We are seeking an experienced Hardware Engineer or Architect to join our team in Hillsboro, OR, specializing in technical analysis of AI and datacenter hardware. This role involves analyzing product architecture, design, and manufacturing processes, and being an active contributor in the planning, tools, and processes required to acquire this information. This role requires a mix of technical expertise, design sensibility, and autonomy. You’ll need to work independently, collaborate across our globally distributed team, and examine and report on the design choices, optimizations, and trade-offs in competing hardware, translating physical analysis into actionable insights.

The role rewards curiosity. The strongest people in this work are drawn to investigation — taking apart what they could have helped design, connecting physical evidence to architectural intent and roadmap signals, and following threads beyond any single prior role.

Responsibilities

• Conduct detailed architectural analysis of AI and datacenter hardware — GPUs, ASICs, CPUs, custom accelerators, high-speed I/O, memory subsystems, and their packaging.
• Drive end-to-end teardown and characterization; operate the analytical toolchain and direct more specialized work as needed.
• Identify competitive advantages, disadvantages, and generational changes in hardware design, packaging, and system-level decisions.
• Apply Design Technology Co-Optimization (DTCO) and System Technology Co-Optimization (STCO) reasoning to interpret architectural trade-offs and process-design interactions.
• Co-author technical research published by SemiAnalysis — physical observation, cross-industry context, and argument all in your words.
• Contribute to the growth and expansion of the lab’s capabilities and output; bring your unique skills to a strong and expansive team.

Requirements

• 3+ years in hardware architecture, product design, silicon engineering, post-silicon debug, or closely equivalent, with genuine exposure to leading-edge parts.
• Strong functional knowledge of AI and datacenter hardware architecture (GPUs, CPUs, accelerators) on advanced process nodes.
• Direct experience in physical or electrical failure analysis, fault isolation, device debug, or related physical root-cause work.
• Understanding of Design Technology Co-Optimization (DTCO) principles.
• Hands-on experience with, or strong aptitude for, semiconductor sample preparation and analytical tools — precision polishing, FIB, SEM, and related electron-beam, X-ray, and compositional methods.

Nice to Have

• Product design or manufacturing R&D in advanced packaging (2.5D / 3D, high-speed interconnects, hybrid bonding).
• Broad understanding of advanced manufacturing across CMOS logic, memory, and emerging technologies.
• Interpreting micrographs and electrical measurements to infer design and process characteristics.
• Comfort developing plans for physical and electrical FA toolchains.
• Python for data analysis and engineering tasks.
• Strong professional network of experts.
• Statistical and process-control literacy.

What Makes Someone Great

• Architectural fluency — CPU / GPU / ASIC floor planning, memory hierarchy, and advanced I/O are native language for you.
• Cross-industry context — you place any architectural choice against vendor and competitor history without reaching for a reference.
• Physical intuition, or willingness to build it fast — you know what is real and what is artifact.
• Written argument — your technical writing holds up under expert scrutiny.
• Curiosity and ownership — you’re drawn to investigate; you ship and close your own loops.
• Agency — you deliver on your responsibilities and support others in theirs. You treat everyone you work with as a peer and leave concepts of hierarchy at the door.

Location & Authorization

95% onsite in Hillsboro, OR. US work authorization required; no visa sponsorship. Competitive compensation commensurate with experience.

Growth Area

• Deepen expertise in next-generation AI hardware architectures, including custom accelerators, chiplet-based designs, and heterogeneous compute systems.
• Expand capabilities in advanced packaging and interconnect technologies (e.g., 2.5D/3D integration, HBM, optical interconnects) and their system-level implications.
• Develop stronger cross-layer understanding from device physics and manufacturing processes through system architecture and workload optimization.
• Build proficiency in data-driven hardware analysis, including benchmarking, performance modeling, and automated analysis using Python and related tools.
• Strengthen collaboration with research, manufacturing, and market teams to translate technical findings into high-impact strategic insights.
• Enhance external engagement through interaction with industry experts, conference participation, and contribution to thought leadership.
• Progress toward a senior architect or subject matter expert role with influence over research direction, technical coverage, and industry perspective.

Position Overview

We are seeking an experienced IC Layout Engineer to join our team in Hillsboro, OR specializing in technical analysis of AI and datacenter hardware. This role involves analyzing the physical design, layout, and manufacturing implementation of leading-edge integrated circuits, and being an active contributor in the planning, tools, and processes required to acquire this information. You’ll examine competing hardware at the layout level: reading floorplans, standard-cell fabrics, analog blocks, and physical implementation choices directly from the die, and translating that physical evidence into actionable architectural and competitive insights.

This role requires a mix of technical expertise, design sensibility, and autonomy. You’ll work independently and collaborate across our globally distributed team to examine and report on the design choices, optimizations, and trade-offs in competing hardware.

The role rewards curiosity. The strongest people in this work are drawn to investigation: taking apart what they could have helped design, connecting physical evidence to architectural intent and roadmap signals, and following threads beyond any single prior role.

Responsibilities

• Conduct detailed physical design and layout analysis of AI and datacenter hardware, including GPUs, ASICs, CPUs, custom accelerators, high-speed I/O, memory subsystems, and their packaging.
• Perform digital and analog floorplan analysis: identify functional blocks, partitioning strategy, hierarchy, power and clock distribution, and I/O placement from die-level imagery.
• Assess standard-cell library choices, cell utilization, placement density, and area/timing/power optimization strategies across designs and process nodes.
• Analyze analog/mixed-signal layout regions (SerDes, PLLs, PHYs, power management) and interpret matching, isolation, and routing choices.
• Drive end-to-end teardown and characterization; operate the analytical toolchain and direct more specialized work as needed.
• Identify competitive advantages, disadvantages, and generational changes in physical design, packaging, and system-level decisions.
• Apply Design Technology Co-Optimization (DTCO) and System Technology Co-Optimization (STCO) reasoning to interpret layout trade-offs and process-design interactions.
• Co-author technical research published by SemiAnalysis, combining physical observation, cross-industry context, and argument all in your words.
• Contribute to the growth and expansion of the lab’s capabilities and output; bring your unique skills to a strong and expansive team.

Requirements

• We are hiring at all experience levels: 2+ years of industry experience in IC layout, physical design, place-and-route, custom/analog layout, or closely equivalent is preferred, but all exceptional candidates are encouraged to apply.
• Genuine exposure to leading-edge parts.
• Strong functional knowledge of digital and/or analog physical design flows (floorplanning, placement, CTS, routing, and signoff) on advanced process nodes.
• Working understanding of standard-cell architectures, cell utilization metrics, and area/power/performance optimization techniques.
• Strong functional knowledge of AI and datacenter hardware architecture (GPUs, CPUs, accelerators).
• Direct experience in physical or electrical failure analysis, fault isolation, device debug, or related physical root-cause work, or strong aptitude to build it.
• Understanding of Design Technology Co-Optimization (DTCO) principles.
• Hands-on experience with, or strong aptitude for, semiconductor sample preparation and analytical tools such as precision polishing, FIB, SEM, and related electron-beam, X-ray, and compositional methods.

Preferred Skills

• Experience with industry P&R and custom layout tools (e.g., Innovus, Fusion Compiler, Virtuoso) and reading GDS/OASIS-level detail.
• Analog/mixed-signal layout expertise, including matching, shielding, guard rings, ESD, and high-speed interconnect layout.
• Product design or manufacturing R&D in advanced packaging (2.5D / 3D, high-speed interconnects, hybrid bonding).
• Broad understanding of advanced manufacturing across CMOS logic, memory, and emerging technologies.
• Interpreting micrographs and electrical measurements to infer design and process characteristics, e.g., identifying cell libraries, track heights, fin/nanosheet configurations, and metal stack usage from imagery.
• Comfort developing plans for physical and electrical FA toolchains.
• Python for data analysis and engineering tasks (image analysis, layout metrics extraction, automation).
• Strong professional network of experts.
• Statistical and process-control literacy.

Growth Areas

• Deepen expertise in next-generation AI hardware physical design, including custom accelerators, chiplet-based designs, and heterogeneous compute systems.
• Expand capabilities in advanced packaging and interconnect technologies (e.g., 2.5D/3D integration, HBM, optical interconnects) and their layout- and system-level implications.
• Develop stronger cross-layer understanding, from device physics, standard-cell design, and manufacturing processes through floorplan, system architecture, and workload optimization.
• Build proficiency in data-driven layout analysis, including automated die-image analysis, utilization and density benchmarking, and performance modeling using Python and related tools.
• Strengthen collaboration with research, manufacturing, and market teams to translate physical design findings into high-impact strategic insights.
• Enhance external engagement through interaction with industry experts, conference participation, and contribution to thought leadership.
• Progress toward a senior physical design analyst or subject matter expert role with influence over research direction, technical coverage, and industry perspective.

What Makes Someone Great

• Layout fluency — floorplans, standard-cell fabrics, memory macros, and advanced I/O are native language for you.
• Cross-industry context — you place any physical design choice against vendor and competitor history without reaching for a reference.
• Physical intuition, or willingness to build it fast — you know what is real and what is artifact.
• Written argument — your technical writing holds up under expert scrutiny.
• Curiosity and ownership — you’re drawn to investigate; you ship and close your own loops.
• Agency — you deliver on your responsibilities and support others in theirs. You treat everyone you work with as a peer and leave concepts of hierarchy at the door.

Location & Authorization

80% onsite in Hillsboro, OR. US work authorization required; no visa sponsorship. Competitive compensation commensurate with experience!

Position Overview

SemiAnalysis is the leading independent research firm covering the semiconductor and AI industries. STEEL is our semiconductor teardown and characterization lab in Hillsboro, Oregon, built to take leading-edge hardware apart and understand how it is designed, manufactured, and assembled.

We are hiring a Lab Equipment & Facilities Technician to keep STEEL and its equipment running at a high standard. This is a hands-on role responsible for tool readiness, troubleshooting, repairs, facilities upkeep, vendor coordination, consumables, and day-to-day environmental health and safety.

STEEL operates a broad range of leading-edge analytical, sample-preparation, and precision mechanical equipment, including electron and ion beam tools, optical and X-ray systems, CNC and machining equipment, and chemical and wet-process stations. The ideal candidate is someone who enjoys working across a wide tool base, takes ownership of the lab floor, and treats safety, quality, and uptime as non-negotiable.

Responsibilities

• Triage, troubleshoot, and repair lab equipment across the floor.
• Use practical, out-of-the-box thinking to repair tools safely and cost-effectively.
• Manage OEM service contracts, including opening tickets, hosting field engineers, and holding vendors accountable to scope and schedule.
• Maintain facilities and infrastructure, including HVAC, process support systems, vacuum systems, mechanical and electrical systems, compressed gases, cryogens, and environmental monitoring.
• Use machining and 3D printing to fix systems, solve problems, and enable new lab capabilities.
• Manage the preventive maintenance and calibration calendar across instruments and facilities.
• Own day-to-day EH&S activities, including chemical, mechanical, electrical, cryogenic, and compressed-gas safety.
• Maintain waste manifests, SDS records, hazmat processes, and emergency equipment.
• Own consumables, spare parts, and purchasing for the lab.
• Support lab build-out, commissioning, and tool acceptance.
• Assist with developing SOPs, preventive maintenance checklists, and operating procedures.

Requirements

• Hands-on experience maintaining precision analytical, semiconductor, vacuum-based, or similarly complex technical equipment.
• Comfortable working across a broad tool base and facility systems, rather than being limited to one instrument or trade.
• Strong safety discipline across chemical, mechanical, electrical, cryogenic, and compressed-gas hazards.
• Good judgment under pressure, with the ability to decide when to fix an issue immediately, escalate to a vendor, or shut a system down.
• Strong documentation habits for maintenance, repairs, procedures, and safety records.
• Relevant training or background to perform the role, whether formal, military, self-taught, or gained through hands-on technical experience.
• High ownership mindset and willingness to be accountable for lab uptime, safety, and readiness.

Preferred Skills

• Experience serving on a safety committee or in a designated safety role.
• Experience building policies, procedures, or infrastructure to meet regulatory requirements.
• Experience working directly with facilities vendors, OEMs, and construction contractors.
• Hands-on experience with FIB, SEM, TEM, or sample-preparation tooling.
• CNC, machining, fabrication, or 3D printing experience.
• Cleanroom or ESD discipline.
• Basic scripting experience, especially Python, for log parsing, monitoring, and trend analysis.
• Experience supporting lab build-outs, commissioning, or equipment acceptance.

Growth Areas

• Opportunity to become the primary owner of lab readiness, maintenance standards, and equipment uptime across STEEL.
• Exposure to a broad range of advanced semiconductor, analytical, and sample-preparation tools beyond what is typically available in a single-tool fab assignment.
• Ability to help build and scale the lab’s safety, maintenance, calibration, and vendor-management systems from the ground up.
• Opportunity to develop deeper expertise in semiconductor teardown, characterization workflows, and advanced hardware analysis.
• High visibility in a small, technical team where the work directly enables published SemiAnalysis research.
• Potential to grow into broader lab operations, facilities leadership, equipment engineering, or technical operations ownership as STEEL scales.

Position Overview

We are seeking a clever and motivated Data Engineer to join our team in Singapore. You’ll be the architect and maintainer of the data models that power our industry models, research, and consulting work.

This role requires a mix of technical expertise, autonomy, and pragmatism—you’ll need to work independently, collaborate across our globally distributed team, and build systems that are both accurate, robust, observable, and modular.

Key Responsibilities

• Work with lead analysts to ensure data accuracy, completeness, and utility value across multiple sources and formats.
• Maintain and extend dashboards and APIs that deliver data to both internal analysts and external clients.
• Support the integration of new datasets, tools, and infrastructure components to enhance our analytics capabilities.
• Open-minded and resourceful with technical solutions and functionality of platforms.
• Maintain strong relationships with lead analysts and stakeholders to build solutions of the right fit.

Qualifications

• At least 3 years of experience in a Data Engineering, Data Science or reasonably equivalent role.
• Capable in Python, SQL, and Excel.
• Strong ETL development experience.
• Hands-on experience with at least one cloud platform (GCP, AWS, or Azure).
• Highly autonomous—able to take a problem from definition to deployment with minimal oversight.

Position Overview

We are seeking a highly motivated & skilled Member of Technical Staff to join our growing engineering team.

Member of Technical Staff will play a crucial role in building & scaling our internal (soon to be open sourced) AI Accelerator Open Source Ecosystem Tracker — a full-stack Next.js application that tracks pull requests, test parity, CI health, and performance benchmarks across all open-source projects in the CUDA/ROCm/Trainium/TPU software ecosystem. You will also play a role in writing and preparing weekly digests & technical reports on upstream contribution health, ROCm/CUDA/Trainium/TPU parity trends, and cross-accelerator benchmark results, with the opportunity for direct authorship recognition.

We are hiring individual contributors at all experience levels. Compensation will be competitive.

As part of the interview process, you’ll complete a paid coding challenge designed to reflect typical daily tasks — building full stack interactive apps, designing database schemas for PR metrics, and integrating GitHub API data pipelines.

Qualifications

• Proactive, self-motivated, and capable of working independently in a global team with demonstrated experience in React, Next.js (App Router, Server Components, Server Actions), TypeScript, and SQL (Postgres/Neon).
• Solid understanding of at least 1 of the following: PostgreSQL schema design & query optimization, GitHub API integration & webhook-driven data pipelines, and/or AI accelerator stacks (ROCm, CUDA, HIP, XLA/TPU, PyTorch, JAX, Neuron/Trainium).
• Strong research skills and the ability to synthesize CI test results, parity metrics, and benchmark data across multiple hardware platforms (AMD, NVIDIA, Google TPU, AWS Trainium) to draw actionable insights.
• Interest in learning machine learning, AI, LLM, TPU, GPUs, Trainium, etc.
• Experience with data visualization libraries (Chart.js, D3.js, Recharts), Vercel deployment, GitHub Actions CI/CD, and open-source community engagement is a plus.

Position Overview

We are seeking a highly creative and detail-oriented Website Designer (UI/UX Specialist) on a 3–6 month contract to elevate the visual experience of the SemiAnalysis web presence.

This role is ideal for someone with a strong sense of aesthetics and a passion for crafting sleek, modern, and high-performance digital interfaces. You will work closely with our Frontend Engineer to redesign and enhance our website, marketing pages, and internal dashboards.

Responsibilities

• Collaborate with Frontend Engineers to refresh and redesign the SemiAnalysis website and marketing pages.
• Improve UI/UX across dashboards and internal tools for clarity and usability.
• Translate product and business requirements into clean, intuitive, and visually compelling designs.
• Create wireframes, mockups, and high-fidelity prototypes.
• Ensure consistency in design language across all digital assets.
• Optimize designs for responsiveness, performance, and accessibility.
• Contribute to building or refining a design system / style guide.

Requirements

• Proven experience as a Website Designer / UI/UX Designer with a strong portfolio.
• Strong sense of visual design, layout, typography, and colour usage.
• Ability to design modern, sleek, and dark-mode-friendly interfaces.
• Proficiency in tools such as Figma, Adobe XD, or similar.
• Solid understanding of web UI/UX principles and best practices.
• Ability to collaborate effectively with engineers and stakeholders.
• Strong attention to detail and ability to deliver within timelines.

Preferred Skills

• Experience designing data-heavy dashboards or analytics platforms.
• Familiarity with design systems and component-based design.
• Basic understanding of HTML, CSS, and frontend constraints.
• Experience working in fast-paced or startup environments.
• Interest in technology, semiconductors, or AI-driven products.

Growth Areas

• Opportunity to shape the visual identity of a growing global research platform.
• Exposure to designing for complex, data-driven products and dashboards.
• Hands-on experience collaborating with engineering and product teams.
• Development of end-to-end design ownership, from concept to implementation.
• Opportunity to build a portfolio of high-impact, real-world design work.

Position Overview

• We are seeking a highly motivated and skilled Accountant & Corporate Administrator to join our team.
• You will be responsible for comprehensive financial and administrative activities across multiple business functions, including accounting, payroll, HR administration, and regulatory compliance.
• This role serves as the operational backbone of the organization, ensuring accurate financial reporting, smooth day-to-day business operations, and efficient administrative processes.
• The ideal candidate will be a Chartered Accountant with proven experience managing complete financial statements, who is highly organized, detail-oriented, and comfortable managing multiple workstreams simultaneously while providing critical support across departments through systems like QuickBooks, payroll platforms, and various business management tools.
• The role will be full-time, based in the US.

Key Responsibilities

• Process accounts receivable, accounts payable, payroll, and benefits administration.
• Manage banking operations, cash flow monitoring, and strategic fund allocation across accounts
• Handle purchasing processes from vendor onboarding through payment, including compliance checks and contract tracking.
• Support employee onboarding and offboarding, including benefits enrollment and employment documentation.
• Coordinate tax filings, corporate registrations, insurance management, and regulatory compliance
• Prepare financial reports, assist with month-end close procedures, and monitor budgets and commitments.
• Identify process improvements and maintain organized documentation for all finance, HR, and compliance activities.

Qualifications

• 2-5 years of experience in accounting, corporate services or administrative roles.
• Bachelor’s degree in Business Administration, Accounting, Human Resources Management, Organizational Management, or related field.
• Registered Chartered Accountant.
• Experience owning the preparation, review, and management of complete financial statements and accounting records, ensuring accuracy and regulatory compliance, with proficiency in QuickBooks.
• Experience managing tax filings and other registration requirements for businesses.
• Experience with establishing and maintaining international corporate structuring, state registrations and regulatory filings.
• Experience with payroll processing systems and HR management platforms.
• Exceptional organizational skills with strong attention to detail.
• Ability to prioritize multiple tasks and meet deadlines in a fast-paced environment.
• Self-motivated with the ability to work independently with minimal supervision.

Preferred Qualifications

• Experience with startups or high-growth companies.
• Understanding of US employment laws, regulations, and HR best practices.
• Knowledge of R&D tax credit documentation requirements.

Position Overview

We’re hiring a Business Operations Analyst with a background in law, consulting, or finance to support the operational and compliance foundation of SemiAnalysis. This role is well-suited for candidates who have experience in legal environments (e.g., paralegal work, legal research, law school exposure, or LSAT-track candidates) and are looking to apply that rigor in a broader business context.

You will work across finance, legal coordination, and internal operations—helping manage contracts, compliance processes, vendor relationships, and internal systems. This role requires strong attention to detail, structured thinking, and the ability to manage complex workflows across multiple stakeholders.

This is a full-time role based in the United States.

Key Responsibilities

• Support the review, organization, and tracking of contracts, agreements, and vendor documentation; coordinate with external counsel as needed.
• Track regulatory filings, state registrations, and corporate obligations across entities; ensure documentation is complete, organized, and up to date.
• Assist in managing day-to-day business operations across finance, HR, and administrative workflows.
• Support invoice processing, vendor onboarding, expense tracking, and coordination with accounting and payroll providers.
• Create and maintain SOPs, internal policies, and structured workflows to improve operational efficiency and reduce risk.
• Support initiatives across recruiting, finance, consulting, and research operations.
• Maintain internal trackers and dashboards for contracts, compliance deadlines, and operational metrics.

Qualifications

• 1–2 years of experience in legal, consulting, finance, or business operations roles.
• Background in law or legal-adjacent work (e.g., paralegal experience, legal internships, law school coursework, or LSAT track) is strongly preferred.
• Bachelor’s degree in Business, Economics, Finance, Political Science, Pre-Law, or a related field.
• Exceptional attention to detail and ability to manage structured processes with high accuracy.
• Strong organizational skills and ability to track multiple deadlines and workflows.
• Clear written and verbal communication skills.
• High ownership mindset with the ability to work autonomously.

Position Overview

We’re hiring a Recruiter & Admin Specialist to support talent acquisition, employee administration, and people operations across the organization. This role is ideal for someone who thrives in a fast-moving, high-accountability environment and enjoys managing multiple recruiting and HR workflows. You will play a central role in building our team, coordinating employee lifecycle processes, and ensuring that our people operations remain organized and effective as the company scales globally.

This is a full-time role based in the United States.

Responsibilities

Talent Acquisition

• Manage full-cycle recruiting across multiple roles, from sourcing and outreach through interview coordination and offer stages.
• Build and maintain strong candidate pipelines using direct sourcing, referrals, job platforms, and other recruiting channels.
• Coordinate closely with hiring managers to understand role requirements, interview processes, and hiring priorities.
• Manage interview scheduling, candidate communications, follow-ups, and recruitment administration.
• Maintain accurate candidate records and hiring updates within the applicant tracking system.
• Support a professional and positive candidate experience throughout the recruitment process.

Onboarding and Employee Lifecycle

• Coordinate end-to-end employee onboarding, including documentation, device procurement, system access, benefits enrollment, and orientation.
• Support employee changes, transfers, leave administration, and offboarding processes.
• Ensure employee records and required documentation are complete, accurate, and properly maintained.
• Coordinate with employees and internal stakeholders to ensure smooth onboarding and offboarding experiences.

HR Administration and People Operations

• Maintain HR policies, employee records, templates, and internal documentation.
• Track required training, certifications, acknowledgements, and compliance-related workflows.
• Serve as a first point of contact for general employee HR and administrative questions.
• Support employee communications, engagement initiatives, and other people operations activities.
• Identify opportunities to improve recruiting, onboarding, and HR processes.

Requirements

• Experience in recruiting, talent acquisition, HR operations, people operations, or a related role.
• Experience managing multiple recruitment and employee administration workflows simultaneously.
• Strong organizational and time-management skills.
• High attention to detail and accuracy when handling employee and candidate information.
• Strong written and verbal communication skills.
• Ability to work independently and take ownership of responsibilities.
• Sound judgment and discretion when handling confidential information.
• Comfortable working with senior leadership, employees, candidates, and external vendors.
• Based in the United States and able to work full-time.

Preferred Skills

• Experience working in a startup, research, technology, or professional-services environment.
• Experience recruiting for technical, analytical, research, or business roles.
• Familiarity with applicant tracking systems, HR information systems, and recruiting platforms.
• Experience with candidate sourcing tools.
• Understanding of US onboarding, benefits administration, employment documentation, and employee lifecycle processes.
• Experience supporting a distributed or globally based workforce.
• Strong process-building, documentation, and workflow-improvement skills.
• Ability to operate effectively in an evolving environment with changing priorities.

Growth Areas

This role offers opportunities to expand into:

• Ownership of broader talent acquisition strategy and workforce planning.
• Development of recruiting processes, hiring frameworks, and employer-branding initiatives.
• Increased responsibility for people operations programs and employee experience.
• HR systems implementation and process automation.
• People analytics, recruiting metrics, and management reporting.
• Management of external recruiting partners and HR service providers.
• Progression into a senior recruiter, talent acquisition lead, people operations manager, or broader HR leadership position.

Position Overview

We’re hiring a Consultant – AI & Semiconductors to support consulting engagements and research initiatives across the semiconductor and AI ecosystem. This role is designed for technically minded generalists who enjoy working across multiple layers of the stack—from semiconductor architecture and manufacturing to AI systems, infrastructure, and software.

You will work closely with senior consultants and research analysts to analyze complex technical topics, support client engagements, and translate technical developments into actionable strategic insights.

This is a full-time role based in the United States.

Key Responsibilities

• Conduct in-depth research and analysis across semiconductor technologies, AI models, compute infrastructure, and related ecosystems.
• Contribute to consulting engagements by developing technical analysis, research insights, and analytical models that inform client decisions.
• Evaluate developments across the AI and semiconductor stack, including hardware systems, model architectures, and infrastructure deployments.
• Help prepare clear, structured outputs including reports, presentations, and technical briefings for clients.
• Work closely with research analysts and consulting leads to integrate proprietary research into consulting projects.
• Track emerging technologies, startups, and industry trends across AI and semiconductor markets.
• Support economic, technical, or market models that inform client strategy and investment decisions.

Qualifications

• At least 2+ years of relevant experience in consulting, research, engineering, industry analysis, or a related technical role.
• Technical background in semiconductors, AI/ML, computer engineering, electrical engineering, or computer science.
• Ability to understand and synthesize complex technical concepts across multiple domains.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent written and verbal communication skills.
• Intellectual curiosity and willingness to explore new technical areas quickly.
• Ability to work independently while collaborating with a globally distributed team.

Position Overview

We are seeking a Technical Consultant to join our team working on ClusterMAX™, the industry standard GPU Cloud rating system. We are hiring at all experience levels with competitive compensation.

Responsibilities

• Lead ClusterMAX™ consulting engagements, including technical due diligence projects related to neoclouds, AI accelerators, AI infrastructure, AI labs, and adjacent ecosystems.
• Translate ClusterMAX™ benchmarking and testing insights into actionable recommendations and investment decisions for clients.
• Contribute to the development of next-generation benchmarking methodologies, TCO analysis frameworks, and future ClusterMAX™ research initiatives.
• Collaborate with executives, engineers, and technical teams across major neocloud providers, including Amazon Web Services, Microsoft Azure, Google Cloud, Oracle, CoreWeave, Nebius, Crusoe, Lambda, and others.
• Build and maintain relationships with AI accelerator manufacturers, OEMs, and ecosystem partners, including NVIDIA, AMD, Intel, Google, Amazon, Cerebras, Groq, Dell Technologies, Hewlett Packard Enterprise, and others.
• Strengthen relationships with AI labs, investors, startups, and technical communities to better understand industry requirements and operational challenges.
• Author detailed technical research reports evaluating architecture design, benchmark performance, reliability, scalability, and operational usability of neocloud and AI infrastructure providers.
• Stay informed on emerging trends and technologies through participation in major industry conferences such as NeurIPS, MLSys, NVIDIA GTC, OCP, SC, and Hot Chips.

Requirements

• Strong understanding of ML frameworks such as PyTorch and JAX.
• Familiarity with GPU and TPU cluster environments running orchestration platforms such as Kubernetes or Slurm.
• Understanding of distributed storage technologies including Weka, VAST, Lustre, and S3-based storage systems.
• Knowledge of high-performance networking technologies such as InfiniBand and RoCEv2.
• Understanding of ML systems benchmarking and performance testing tools, including GEMMs, nccl-tests, vLLM, sglang, fio, TorchTitan, Megatron, and related frameworks.
• Experience working at a hyperscaler, neocloud provider, server OEM, AI accelerator company, or large-scale AI infrastructure environment is preferred.
• Ability to work proactively and independently within a globally distributed team environment.
• Strong analytical, technical communication, and problem-solving capabilities.

Growth Areas

• Develop deep expertise in AI infrastructure, neocloud ecosystems, accelerators, and large-scale ML system benchmarking.
• Gain exposure to technical due diligence and investment decision-making processes across frontier AI and semiconductor markets.
• Build relationships with leading hyperscalers, AI labs, infrastructure startups, accelerator vendors, and institutional investors.
• Contribute to industry-recognized benchmarking methodologies and technical research publications.
• Expand technical knowledge across distributed systems, networking, storage, AI infrastructure, and performance optimization.
• Work directly with globally recognized companies shaping the future of AI compute and infrastructure.
• Increase visibility within the AI and semiconductor ecosystem through conferences, technical collaborations, and published research.

Position Overview

SemiAnalysis is looking to hire a General Counsel to support the company’s legal, commercial, compliance, and corporate governance needs as the business scales globally.

This role will advise leadership on contracts, legal risk, employment matters, corporate governance, data privacy, confidentiality, and cross-border operations. The ideal candidate is practical, commercially minded, and comfortable working in a fast-moving technology, research, and consulting environment.

Responsibilities

• Review, draft, and negotiate commercial agreements, including client contracts, vendor agreements, NDAs, consulting agreements, and employment or contractor agreements.
• Advise leadership on legal risks across business operations, employment, intellectual property, confidentiality, and international expansion.
• Support corporate governance matters, including entity management, board documentation, internal policies, and compliance processes.
• Partner with HR and operations on employment contracts, contractor arrangements, terminations, and workplace policies.
• Manage and coordinate with external legal counsel where required.
• Build scalable legal templates, contract playbooks, approval workflows, and legal processes.
• Advise on data privacy, confidentiality, information security, and regulatory considerations.
• Support the business on disputes, escalations, and risk mitigation matters.

Requirements

• Qualified lawyer with experience in corporate, commercial, employment, or technology-related legal matters.
• Strong contract drafting, negotiation, and legal risk assessment skills.
• Experience advising senior leadership or executive stakeholders.
• Strong understanding of US legal matters.
• Ability to balance legal protection with commercial practicality.
• Comfortable operating independently in a remote, global, and fast-paced environment.
• Strong written and verbal communication skills.

Preferred Skills

• Experience working with high-growth, global, research, consulting, technology, AI, semiconductor, or data-focused businesses.
• Exposure to international employment, contractor arrangements, and cross-border entity matters.
• Familiarity with IP protection, research publication risk, client confidentiality, and data licensing.
• Experience supporting contractor-heavy or internationally distributed teams.
• Prior experience as a first legal hire, fractional General Counsel, or startup legal advisor.
• Ability to create legal structure and processes from scratch.

Growth Areas

• Build SemiAnalysis’ legal function and internal legal operating model.
• Establish contract templates, legal review processes, and approval workflows.
• Support global expansion across the US, Singapore, Europe, and other markets.
• Strengthen corporate governance, compliance, data privacy, and employment frameworks.
• Partner closely with leadership on strategic business decisions and risk management.
• Potential to grow into a broader legal leadership role as the company scales.

Position Overview

We are seeking a driven and client-focused Sales Associate to join our team. This role is ideal for someone passionate about technology who thrives in building lasting client relationships.

You will be responsible for driving sales of our premium research and consulting services, managing the full B2B sales cycle, and acting as the bridge between clients and our technical experts. On-target earnings (OTE) for this role are USD $250,000.

Responsibilities

• Drive sales of premium research and consulting services to enterprise clients.
• Manage the full B2B sales cycle, including prospecting, pipeline development in HubSpot, deal closure, and renewals.
• Partner with the technical team to deliver tailored solutions and client consultations.
• Maintain strong market awareness to identify opportunities in the semiconductor and AI sectors.
• Build and nurture long-term client relationships across a growing product portfolio.
• Act as the key link between clients and internal technical experts.

Requirements

• Bachelor’s degree in Business, Economics, Engineering, Finance, or a related field.
• 3+ years of experience in B2B sales, account management, or customer success.
• Demonstrated passion for technology, especially semiconductors and AI.
• Strong analytical skills with the ability to understand complex technical concepts.
• Excellent communication, negotiation, and presentation skills.
• Ability to build trust with clients and manage long-term business relationships.

Preferred Skills

• Experience selling to hedge funds, asset managers, or financial institutions.
• Experience in international or cross-cultural business negotiations.
• Track record of prioritizing client success and long-term relationships over short-term gains.
• Familiarity with semiconductor industry trends and market dynamics.
• Background in technical sales within a research, consulting, or technology environment.
• Experience using CRM tools such as HubSpot.

Growth Areas

• Direct exposure to cutting-edge semiconductor and AI market developments.
• Opportunity to work closely with leading technical and industry experts.
• Career growth in a rapidly expanding global market.
• Development of expertise across enterprise sales, strategic account management, research services, and consulting solutions.
• Competitive compensation package with performance-based incentives.
• Opportunity to grow into larger commercial, account management, or strategic sales responsibilities.

Position Overview

We’re hiring a Venture Associate to help source, evaluate, and execute investments for SemiAnalysis Capital. This is a hands-on investing role across the full lifecycle of venture capital: developing theses, sourcing companies, meeting founders, conducting diligence, building investment memos, supporting deal execution, and helping portfolio companies after investment.

This is a full-time role based in San Francisco.

We are looking for an intellectually curious and highly driven Venture Associate to help identify, evaluate, and support the next generation of companies shaping AI, semiconductors, infrastructure, developer tools, and frontier technology markets.

This role is ideal for someone who enjoys combining deep research, financial analysis, technical curiosity, and founder engagement. You will work across the full investment lifecycle, from sourcing and thesis development to diligence, deal execution, and portfolio support.

Responsibilities

• Source, identify, and build relationships with high-potential startups across AI, semiconductors, infrastructure, developer tools, and adjacent technology sectors.
• Engage directly with founders to understand their products, market opportunities, business models, competitive positioning, and founder-market fit.
• Conduct investment diligence across market, product, technical, customer, competitive, operational, and financial dimensions.
• Build financial models, analyze unit economics, evaluate company fundamentals, and support investment scenario analysis.
• Prepare clear and structured investment memos outlining opportunities, risks, market dynamics, diligence findings, and investment recommendations.
• Support deal execution processes, including diligence coordination, data room management, legal workflows, closing processes, and internal approvals.
• Partner with portfolio companies on fundraising strategy, hiring, customer introductions, market positioning, and other strategic initiatives.
• Contribute to investment thesis development using proprietary research, first-principles thinking, and deep market analysis.
• Represent the firm across industry events, conferences, technical communities, and founder ecosystems to expand sourcing networks and market coverage.

Requirements

• 2–4 years of experience in venture capital, growth equity, private equity, investment banking, management consulting, corporate development, product strategy, or a similarly analytical role.
• Strong analytical, research, and financial modeling capabilities.
• Ability to evaluate companies, markets, and technologies through structured thinking and first-principles analysis.
• Excellent written and verbal communication skills, with the ability to synthesize complex information clearly.
• Strong relationship-building skills and the ability to engage credibly with founders, operators, investors, and technical stakeholders.
• High attention to detail and the ability to manage multiple workstreams in a fast-moving environment.
• Strong intellectual curiosity and genuine interest in AI, semiconductors, infrastructure, and emerging technology markets.
• Self-starter mindset with strong ownership, initiative, and follow-through.
• Ability to work full-time from San Francisco.

Preferred Qualifications

• Prior experience at a venture capital, private equity, growth equity, or technology investment firm.
• Experience evaluating technical products, AI companies, infrastructure startups, developer platforms, or semiconductor-related businesses.
• Familiarity with startup fundraising, cap tables, term sheets, and venture financing structures.
• Existing network across founders, operators, investors, or technical ecosystems.
• Experience preparing investment memos or presenting recommendations to senior stakeholders or investment committees.
• Technical background, or demonstrated ability to quickly understand complex technical markets, products, and business models.

Growth Areas

• Gain exposure to high-quality deal flow across AI, semiconductors, infrastructure, and other frontier technology markets.
• Develop deep expertise in evaluating technology companies through a combination of technical, financial, and market analysis.
• Work directly with founders, investors, operators, and senior decision-makers across the global technology ecosystem.
• Build investment theses grounded in proprietary research, industry insights, and first-principles thinking.
• Take on meaningful responsibility early across sourcing, diligence, execution, and portfolio support.
• Help build a differentiated investment platform focused on some of the most important technology markets globally.
• Expand your knowledge across venture investing, startup operations, fundraising dynamics, and strategic growth initiatives.

This is a high-impact opportunity for someone who wants to sit at the intersection of investing, frontier technology, and company building.