Performance Modeling Engineer
About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions.
What this role actually needs.
Performance Modeling Engineer at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- Develop and maintain performance modeling tools and frameworks.
- Build models to evaluate system behavior across: compute, memory, and interconnect subsystems
- distributed system scaling and bottlenecks.
- Run simulations and analytical models to support architectural tradeoff analysis.
- Collaborate with performance modeling lead and system architects to answer forward-looking design questions.
- Analyze and interpret modeling outputs, translating results into actionable insights.
What a strong candidate brings
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- Strong software engineering or modeling background (e.g., simulation, systems modeling, or performance analysis).
- Familiarity with system architecture fundamentals (compute, memory, networking).
- Experience with programming and building technical tools or frameworks.
- Ability to reason about performance bottlenecks and scaling behavior.
- Strong analytical skills and comfort working with quantitative models.
- Ability to collaborate across teams and learn new system domains quickly.
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