Performance Modeling Engineer

OpenAI; San Francisco (CA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

A leading AI research organization based in San Francisco is seeking Performance Modeling Engineers. You will develop and apply modeling tools to evaluate AI system performance, work with cross-functional teams to analyze system behavior, and help drive architectural decisions. The ideal candidate has a strong software engineering background and is interested in deepening expertise in system architecture. Embrace a hybrid work model with 3 days in the office and relocation assistance available.

Qualifications

• Strong software engineering or modeling background.
• Familiarity with system architecture fundamentals.
• Experience with programming and building technical tools.

Responsibilities

• Develop and maintain performance modeling tools and frameworks.
• Run simulations and analytical models for architectural analysis.
• Collaborate with architects to answer design questions.

Skills

Software engineering

Modeling background

Analytical skills

Collaboration

Job description

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 teams and learn new system domains quickly.

Preferred Skills

• Exposure to AI/ML workloads or distributed systems.
• Experience with simulation tools, performance modeling, or systems analysis.
• Familiarity with data center infrastructure or large-scale systems.
• Experience working with performance data, benchmarking, or profiling tools.
• Interest in system architecture and hardware/software co-design.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

We are committed to providing reasonable accommodations to applicants with disabilities.