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.
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. Responsibilities: - 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. Requirements: - 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. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Performance Modeling Engineer role.
- 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
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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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Source: jobs.ashbyhq.com · Source ID: 19fc3e36-3bf3-4a7c-b65f-498d89220436 · Confidence: 97/100 · Last checked: May 7, 2026
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