What are the responsibilities and job description for the Member of Technical Staff – Benchmarking Infra/SRE position at SemiAnalysis?
Employment Type: Full-Time
Work Setting: In-office
Work Location: New York, San Francisco
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
We are looking for a highly motivated new grad engineer to join our engineering team. This is an unique opportunity to work on an 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.
Responsibilities
Work Setting: In-office
Work Location: New York, San Francisco
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.
We are looking for a highly motivated new grad engineer to join our engineering team. This is an unique opportunity to work on an 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.
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
- 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
- Work directly with senior engineers, industry leaders, and executives to gain exposure to real-world large-scale system design and benchmarking
- Develop deep expertise in performance engineering across cutting-edge hardware platforms (GPUs, TPUs, custom accelerators)
- Gain hands-on experience with modern infrastructure tooling, including CI/CD systems, cloud platforms, and distributed systems
- Build strong fundamentals in system reliability, scalability, and production-grade engineering practices
- Opportunity to contribute to high-impact, industry-facing projects that influence next-generation AI infrastructure decisions
- Receive mentorship and structured feedback to accelerate technical and professional growth
- Exposure to cross-functional collaboration with research, engineering, and business teams globally