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SemiAnalysis · 1 day ago

Engineer - AI Economics

San Francisco, CA

Full-time

Hybrid

New Grad, Entry Level

SemiAnalysis is an independent research and analysis firm specializing in the Semiconductor and AI industries. They are seeking an Engineer – AI Economics to build and extend internal models that quantify the cost, scalability, and economic performance of modern AI systems. This role focuses on simulation, modeling, and technical rigor to translate technical performance into economic outcomes for various stakeholders.

Artificial Intelligence (AI)ConsultingSemiconductor

H1B Sponsor Likely

Responsibilities

Build and maintain internal models simulating AI training and inference economics

Engineer tooling to compare performance and cost across model architectures, accelerators, and system configurations

Analyze how changes in model design, software stacks, and hardware roadmaps affect long-term AI cost curves

Collaborate with research analysts to translate technical outputs into economic insights and forecasts

Continuously refine assumptions using real-world benchmarks and deployment data

Qualification

ML/AI backgroundProgramming skillsModeling skillsAI infrastructure knowledgeEconomic analysisCuriosityCollaboration

Required

Background in ML/AI, CS, systems engineering, or applied engineering

Strong programming and modeling skills (Python preferred)

Deep curiosity about AI infrastructure and economic tradeoffs

Ability to reason across hardware, software, and economics

Full-time role based in the United States

Benefits

Competitive compensation

Company

SemiAnalysis

SemiAnalysis offers AI and semiconductor research, consulting, and hosts tech events like Nvidia Blackwell GPU Hackathon.

Founded in 2019

San Francisco, California, USA

11-50 employees

https://semianalysis.com

H1B Sponsorship

SemiAnalysis has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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2025 (1)