OpenAI
Performance Modeling Lead
$347K–$445K
San Francisco +1 · Hybrid · Full-time · Posted Apr 20, 2026
- Location
- San Francisco
Seattle
About the job
Build and lead a team developing performance models that guide architectural decisions and infrastructure strategy for AI systems.
What you'll do
- Build and maintain a performance-modeling framework to assess AI systems across levels of abstraction.
- Analyze system tradeoffs and turn modeling results into recommendations for internal teams and hardware vendors.
- Lead a team of 2–3 engineers and validate models against real system measurements.
What they ask for
- Experience building or owning performance-modeling frameworks used for system design decisions.
- Deep knowledge of AI/ML workloads, including training and/or inference at scale.
- Understand compute, memory, and networking tradeoffs in large-scale distributed systems.
- Experience using analytical modeling or simulation to inform architectural decisions.
Nice to have
- Experience working with hardware vendors or in data center infrastructure or hyperscale systems.
- Experience leading or mentoring engineers, or influencing hardware roadmaps and reference architectures.
Pay
$347K – $445K USD base salary
Tools
GPUs/ASICs, NVLink, InfiniBand, Ethernet
AI focus
Model and optimize infrastructure architectures for AI workloads, including training and inference at scale.
Model-written summary · the original posting is authoritative