MTS - Research Analyst, AI Infrastructure & Economics

SemiAnalysis • San Francisco, CA

7h • Hybrid

About The Position

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, Core Research, and Consulting and Technical Due Diligence.

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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed