Performance Modeling Engineer
OpenAI · San Francisco · Seattle
CHECKED 1H AGO
Frontier labremote$293k–$385k
At a glance
Highlights
- Build modeling frameworks to evaluate AI system performance and tradeoffs.
- Run simulations to guide next-generation AI infrastructure design decisions.
- Validate models against real measurements to improve system design.
What they offer
- Equity
- Relocation assistance
Ideal candidate
A software-minded engineer who loves quantitative modeling and reasoning about large-scale systems. You enjoy turning simulation insights into design decisions and learning new architecture domains quickly.
Requirements
- Strong software engineering or modeling background in simulation or performance analysis
- Familiarity with system architecture fundamentals across compute, memory, and networking
- Experience building technical tools or frameworks with programming
- Ability to reason about performance bottlenecks and scaling behavior
- Strong analytical skills and comfort with quantitative models
- Ability to collaborate across teams and learn new domains quickly
- remote policy
- 3 days in office per week
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets