Software Engineer, Inference - Performance Optimization
OpenAI · San Francisco
CHECKED 23H AGO
Frontier labonsite$266k–$500k
At a glance
Highlights
- Model inference performance across application, model, and fleet layers.
- Build cost-to-serve estimates from microbenchmarks to guide future launches.
- Turn profiling insights into faster, cheaper production inference systems.
What they offer
- Equity
Ideal candidate
Systems thinker who loves reasoning from first principles across hardware to applications and turning profiling insights into real production gains with research and engineering partners.
Requirements
- Enjoy reasoning from first principles about distributed systems, model inference, and hardware efficiency.
- Are comfortable working across abstraction layers, from application behavior to kernels, accelerators, networking, and fleet scheduling.
- Have deep expertise with performance profiling, benchmarking, analysis, and optimization.
- Enjoy collaborating with engineering and research teams to improve real production systems.
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