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Performance Modeling Engineer

OpenAI

Performance Modeling Engineer is a still-open role at OpenAI on Jobrow. Location: Hybrid · San Francisco · California · United States. Listed pay: $347k–$445k. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$347k–$445k
Workplace
Hybrid
Location
San Francisco · California · United States
First seen
2 months ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads.

  • Function: Engineering
  • Seniority: mid

Location & pay

Hybrid · San Francisco · California · United States Listed pay on Jobrow: $347k–$445k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 2 months ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

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. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and inform next-generation infrastructure design. About the Role We are seeking Performance Modeling Engineers to develop and apply modeling tools that evaluate AI system performance and inform architectural decisions. In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks and applying them to real-world questions that impact system design and vendor decisions. This role is well-suited for engineers with strong software or modeling backgrounds who are interested in developing deeper expertise in system architecture and AI infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key 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. - Validate models against real system measurements and workload behavior. - Contribute to improving modeling fidelity, usability, and scalability. Qualifications - 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 te

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