Performance Modeling Lead for AI Infrastructure

OpenAI; San Francisco (CA); Hybrid; USD 342,000 - 555,000; Full time

Job summary

OpenAI is looking for a Performance Modeling Lead in San Francisco to build a high-impact team focused on AI infrastructure systems. This role involves developing modeling frameworks and methodologies that inform architectural decisions.

The ideal candidate will have expertise in AI/ML workloads, strong communication skills, and experience leading teams. OpenAI offers a hybrid work model with relocation assistance and a competitive compensation range of $342K – $555K.

Qualifications

• Experience owning or building performance modeling frameworks used to drive real system design decisions.
• Deep knowledge of AI/ML workloads, including training and/or inference at scale.
• Experience using modeling to inform architectural decisions.

Responsibilities

• Build and own a performance modeling framework/toolchain to evaluate AI systems.
• Analyze and quantify architectural tradeoffs across compute, memory, networking, and storage.
• Lead and grow a small team, maintaining high standards for modeling rigor.

Skills

Performance modeling frameworks

AI/ML workloads

System-level tradeoffs

Clear communication

Analytical or simulation modeling

Job description

OpenAI is looking for a Performance Modeling Lead in San Francisco to build a high-impact team focused on AI infrastructure systems. This role involves developing modeling frameworks and methodologies that inform architectural decisions.

The ideal candidate will have expertise in AI/ML workloads, strong communication skills, and experience leading teams. OpenAI offers a hybrid work model with relocation assistance and a competitive compensation range of $342K – $555K.