Member of Technical Staff – Benchmarking Infra/SRE

SemiAnalysisSan Francisco, CA
Onsite

About The Position

SemiAnalysis is an independent research and analysis firm specializing in the Semiconductor and AI industries. Their in-depth coverage spans the entire supply chain, from semiconductor fabrication processes to cutting-edge AI Models, software, and infrastructure. They are recognized as the leading authority on the semiconductor supply chain, with a global team of over 50 analysts who publish industry-shaping articles and participate in over 40 conferences annually. Their newsletter reaches more than 200,000 subscribers worldwide, including senior management and c-suite leaders at leading semiconductor and AI companies. SemiAnalysis offers three core products: Industry Models (on accelerator shipments, datacentre demand/supply, GPU total cost of ownership), Core Research (public equity markets product for financial investors), and Consulting and Technical Due Diligence (custom research for strategic and investment decisions). The company is looking for a highly motivated new grad engineer to join their engineering team. This is a unique opportunity to work on high-visibility special projects with support from many industry leaders and CEOs. If you’re passionate about performance engineering, system reliability, 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.

Requirements

  • Strong skills in Python
  • Background in Site Reliability Engineering (SRE) or systems-level problem solving
  • Experience with CI/CD pipelines and modern DevOps practices
  • Curiosity about GPUs, TPUs, Trainium, multicloud, and performance benchmarking

Responsibilities

  • Building and running large-scale benchmarks across multiple vendors (AMD, NVIDIA, TPU, Trainium, etc.)
  • Designing reproducible CI/CD pipelines to automate benchmarking workflows
  • Ensuring reliability and scalability of systems used by industry partners
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