Performance Modeling Engineer - AI Systems & Infrastructure

OpenAI; Seattle (WA); Hybrid; USD 293,000 - 385,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model

Job summary

OpenAI in San Francisco, CA, is seeking a Performance Modeling Engineer to develop modeling tools that assess AI system performance and guide architectural decisions. You will partner with the Performance Modeling Lead to analyze behavior, run simulations, and quantify tradeoffs across compute, memory, networking, and storage.

This role suits engineers with strong software or modeling backgrounds, who want to deepen expertise in system architecture and AI infrastructure.

Qualifications

• Strong software engineering or modeling background.
• Familiarity with system architecture fundamentals (compute, memory, networking).
• Experience with programming and building technical tools.
• Ability to reason about performance bottlenecks and scaling.
• Strong analytical skills and comfort working with quantitative models.
• Ability to collaborate across teams and learn new system domains quickly.

Responsibilities

• Develop and maintain performance modeling tools and frameworks.
• Build models to evaluate system behavior across compute, memory, and interconnect subsystems.
• 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.

Skills

Software engineering

Modeling background

System architecture

Analytical skills

Programming

Team collaboration

Tools

Simulation tools

Performance modeling

Systems analysis

Job description

OpenAI in San Francisco, CA, is seeking a Performance Modeling Engineer to develop modeling tools that assess AI system performance and guide architectural decisions. You will partner with the Performance Modeling Lead to analyze behavior, run simulations, and quantify tradeoffs across compute, memory, networking, and storage.

This role suits engineers with strong software or modeling backgrounds, who want to deepen expertise in system architecture and AI infrastructure.