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Software Engineer, Inference - Performance Optimization

OpenAI · San Francisco

CHECKED 23H AGO

Frontier labonsite$266k–$500k
Apply on the lab’s site ↗

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
More about OpenAI →
Apply on the lab’s site ↗