Performance Modeling Engineer ~2

OpenAI OpenAI · AI Frontier · San Francisco, CA · Scaling

This role focuses on developing and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and support next-generation infrastructure design for AI workloads. The engineer will analyze system behavior, run simulations, and evaluate tradeoffs across compute, memory, networking, and storage, contributing to building modeling frameworks and gaining expertise in system architecture and AI infrastructure.

What you'd actually do

  1. Support the development and maintenance of performance modeling tools and frameworks
  2. Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems
  3. Help analyze distributed system scaling behavior and identify performance bottlenecks
  4. Run simulations and analytical models to support architecture and infrastructure decisions
  5. Partner with senior engineers to evaluate design tradeoffs across hardware and system components

Skills

Required

  • software engineering
  • systems modeling
  • performance analysis
  • programming skills
  • building technical tools, scripts, or frameworks
  • system architecture fundamentals
  • compute, memory, and networking
  • reason about system performance, bottlenecks, and scaling behavior
  • analytical and problem-solving skills
  • quantitative environments
  • learn quickly
  • work effectively across technical teams

Nice to have

  • AI/ML workloads
  • distributed systems
  • large-scale infrastructure
  • simulation tools
  • benchmarking
  • profiling
  • performance analysis
  • data center systems
  • server architecture
  • hardware platforms
  • system architecture
  • hardware/software co-design
  • performance engineering
  • infrastructure
  • systems design

What the JD emphasized

  • 1–2 years of experience in software engineering, systems modeling, performance analysis, or related technical work