Performance Modeling Engineer ~2
OpenAI · San Francisco · Seattle
CHECKED 1H AGO
Frontier labremotejunior$293k–$385k
At a glance
Highlights
- Build modeling frameworks to understand AI system behavior and tradeoffs.
- Run simulations to guide next-generation infrastructure design decisions.
- Validate models with benchmarking and real system measurements.
What they offer
- Relocation assistance
- Equity
Ideal candidate
Early-career engineer excited to grow in AI infrastructure and hardware/software systems, analytical, curious, and energized by modeling bottlenecks and turning data into design guidance.
Requirements
- 1-2 years of experience in software engineering, systems modeling, performance analysis, or related technical work
- Strong programming skills and experience building technical tools, scripts, or frameworks
- Familiarity with system architecture fundamentals such as compute, memory, and networking
- Ability to reason about system performance, bottlenecks, and scaling behavior
- Strong analytical and problem-solving skills with comfort working in quantitative environments
- Ability to learn quickly and work effectively across technical teams
- 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