OpenAI
Performance Modeling Engineer ~2
About this role
OpenAI's Hardware organization seeks an early-career Performance Modeling Engineer to develop and apply modeling tools that evaluate AI system performance and guide infrastructure decisions. You'll work with senior engineers to build frameworks, run simulations, and analyze tradeoffs across compute, memory, networking, and storage subsystems.
What you'll do
- Develop and maintain performance modeling tools and frameworks for AI systems
- Build models to evaluate behavior across compute, memory, networking, and interconnect subsystems
- Analyze distributed system scaling and identify performance bottlenecks
- Run simulations and analytical models to support architecture decisions
- Validate models using benchmarking data and real system measurements
- Collaborate with hardware, infrastructure, and architecture teams on design tradeoffs
What they're looking for
- Software engineering and programming
- Systems architecture and performance analysis
- Analytical and problem-solving abilities
- Simulation and benchmarking tools
- Understanding of distributed systems
- Data center and server architecture knowledge
- AI/ML workload familiarity
- Cross-functional collaboration
Benefits
- Based in San Francisco, CA
- Hybrid work model (3 days in office per week)
- Relocation assistance offered
- Opportunity to grow in large-scale AI infrastructure
- Mentorship from senior performance engineers
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OpenAI
OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.
View all jobs at OpenAILikely interview questions
- Walk us through a time you built or maintained a performance modeling tool or framework. What languages and approaches did you use, and how did you validate accuracy?
- Describe your experience analyzing system performance bottlenecks. How would you approach identifying whether a bottleneck is compute, memory, networking, or storage-bound?