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

What You’ll Do

• Translate proprietary technical and supply-chain work from the SemiAnalysis team into quantitative and qualitative assessments of revenue, margins, TAM, and competitive positioning for China-based semiconductor and AI companies, as well as global companies exposed to China.
• Publish concise, data-rich notes, including a weekly note, covering the most consequential China semiconductor, AI, and hardware supply-chain developments, policy shifts, and competitive dynamics.
• Monitor earnings calls, regulatory filings, policy announcements, product launches, and industry events across China; surface key catalysts internally and to clients in near-real time.
• Develop and maintain bottoms-up models for Chinese foundries, fabless chip designers, memory vendors, equipment suppliers, and AI hardware companies, incorporating local disclosures, channel checks, and policy constraints.
• Partner with technologists to originate new research angles on China-specific architectures, manufacturing capabilities, localization efforts, export controls, and supply-chain substitution.
• Engage investor-relations teams, industry executives, and ecosystem participants to deepen our understanding of individual companies and the broader China semiconductor and AI landscape.
• Support clients via calls and the SemiAnalysis support portal, delivering timely, well-researched insight on China-related developments.

What We’re Looking For

• 1-5 years of experience in equity research, investment banking, strategy consulting, or a semiconductor industry role, with direct exposure to China-focused research or companies.
• Strong working understanding of the China semiconductor and AI hardware value chain, including foundry, fabless, memory, equipment, materials, and downstream AI applications.
• Ability and willingness to dig into China-specific disclosures, policy documents, and industry data and translate them into defensible financial 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.

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, remote 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.

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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.

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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.

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

Position Overview

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

For the first six months, you will work directly with our Director of Research to develop and launch our latest industry model. You will then continue to play a significant role in maintaining the model and sharing regular updates to our clients.

Outside of the latest industry model, you will work closely with the lead analyst on the Accelerator Model and the Datacenter Industry Model.

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.

Key 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.

Qualifications

0-4 years of prior work experience in equities research or public markets asset management.

Undergraduate degree in Business, Finance, Engineering, Computer Science or other relevant technical field.

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.

We are looking for an experienced, driven Energy Analyst to join our global team. This role focuses on analyzing how the rapid growth of AI and datacenter infrastructure is reshaping the American energy system — from power generation and transmission to interconnection, regulation, and emerging energy technologies. As an Analyst, you will lead and contribute to in-depth, forward-looking research that informs the world’s largest asset managers, energy companies, and infrastructure investors. You will uncover emerging market trends, evaluate grid constraints, track power supply developments, and assess how new energy technologies are enabling the next wave of AI infrastructure. Your insights will directly guide strategic decisions across the energy and AI ecosystem. This is a full-time, remote position. Candidates must be based in a European time zone or Eastern time zone, with a minimum of 2–5 years of relevant experience, ideally in equity research, energy analysis, or investment research.

What You’ll Do

Analyze how GenAI and datacenter infrastructure are impacting the American energy system.

Build on SemiAnalysis’ industry-leading tracking of 150+ AI chips and 5,000+ datacenters to assess power demand and regional constraints.

Research power plants, interconnection queues, utilities, IPPs, ISOs, and PUCs to understand how future AI datacenters are securing energy supply.

Evaluate transmission constraints and their impact on utilities, grid operators, and electrical equipment suppliers.

Contribute to SemiAnalysis’ forward-looking research on batteries, solar, fuel cells, SMRs, and other technologies powering the future of AI.

Produce high-impact research reports, forecasts, and briefings for institutional clients using public and proprietary data.

Collaborate with semiconductor, datacenter, and AI infrastructure analysts to generate cross-sector insights.

Support hedge funds, infrastructure investors, hyperscalers, and policymakers with bespoke energy and power market analysis.

Present research findings to senior leadership teams and participate in client calls and conference presentations.

What We’re Looking For

2–5+ years of professional experience in equity research, energy analysis, investment research, or a related strategy role.

Strong understanding of the U.S. power system, including generation, transmission, interconnection, utilities, IPPs, ISOs, and regulatory bodies.

Experience analyzing energy markets, infrastructure investment, and grid constraints.

Deep interest in how AI and compute infrastructure are transforming the energy landscape.

Proven ability to synthesize complex technical, regulatory, and market data into actionable insights.

Exceptional writing and presentation skills, with experience producing research reports, investment memos, or market primers.

Proficiency in Excel; experience with data visualization and/or scripting (Python, SQL, etc.) is a plus.

Ability to work independently in a fast-moving, globally distributed team.

Position Overview

We are looking for an experienced, driven Industrials and Utilities Analyst to join our global team. This role focuses on analyzing how the rapid growth of AI and datacenter infrastructure is transforming the power grid, utility investment cycles, electrical equipment providers, and industrial sectors more broadly.

As an Analyst, you will lead and contribute to in-depth, forward-looking research that informs the largest asset managers, energy firms, and infrastructure providers globally. You will uncover emerging market trends, map technological and regulatory shifts, and assess capital flows in real-time. Your insights will help guide strategic decisions across the AI and industrial infrastructure landscape.

This is a full-time, remote position. Candidates must be based in a European time zone or Eastern time zone, with a minimum of 2–5 years of relevant experience, ideally in equity research (sellside) or investment analysis (buyside).

Key Responsibilities

• Lead research and analysis across the power grid, utilities, and industrial infrastructure sectors as they relate to AI and datacenter expansion.
• Produce high-impact research reports, forecasts, and briefings for clients, drawing on both public and proprietary data.
• Track and evaluate developments in transmission and distribution investment, regulatory changes, equipment supply chains (e.g., switchgear, transformers), and the broader capex cycle.
• Assess how AI infrastructure demand is reshaping utilities, EPCs, and electrical equipment manufacturers across regions.
• Collaborate closely with semiconductor, datacenter, and AI infrastructure analysts to generate cross-sector insights.
• Support clients including hedge funds, infrastructure investors, hyperscalers, and policymakers with bespoke insights and thematic research.
• Present research findings to senior leadership teams and engage in client calls and conference presentations.

Qualifications

• 2–5+ years of professional experience in equity research, investment analysis, or a strategy role covering industrials, utilities, or energy sectors.
• Strong grasp of financial modeling and valuation techniques.
• Deep interest in how AI and compute infrastructure are transforming traditional industries.
• Proven ability to synthesize complex data into actionable insights and communicate them clearly to diverse audiences.
• Exceptional writing and presentation skills, with experience crafting investment memos, deep-dive reports, or market primers.
• Proficiency in Excel and experience with data visualization and/or scripting (Python, SQL, etc.) is a plus.
• Ability to work independently in a fast-moving, globally distributed team.
• Fluency in English; additional European languages are a plus.

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

Key Responsibilities

• Conduct detailed architectural analysis of AI and datacenter hardware (e.g., GPUs, ASICs, CPUs, and associated systems).
• Evaluate and benchmark hardware designs to identify competitive advantages, disadvantages, and generational changes.
• Analyze and document semiconductor manufacturing processes, including FEOL, BEOL, and advanced packaging techniques, based on physical inspection and analysis.
• 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 hardware architectures.
• Work with manufacturing experts and market analysts to develop actionable market insights and reports.

Qualifications

• 3+ years of experience in architecture, product design, electrical failure or a reasonably equivalent role.
• Strong functional knowledge of AI and datacenter hardware architecture (e.g., GPUs, CPUs, accelerators) on advanced process nodes.
• Direct experience in physical or electrical failure analysis, fault isolation, device debug, or a related field.
• Understanding of Design Technology Co-Optimization (DTCO) principles and their application.

Nice to Have

• Experience in product design or manufacturing 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.
• Proven ability to interpret analytical data, such as micrographs and electrical measurements, to infer design and process 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 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 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. The role is based in the US.

Key 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.

Qualifications

• 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.
• Proficient in Excel and comfortable learning new software tools. Any experience with Python, financial modeling, or data analysis is a plus but not required.
• Excellent written and verbal communication skills with attention to detail.
• Self-motivated learner who can take direction and work collaboratively in a fast-paced environment.
• Demonstrated interest in semiconductors, AI, or technology sectors through coursework, projects, or personal interest.

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.