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Workload Porting & Performance Engineer
OpenAI · San Francisco · Seattle
CHECKED 1H AGO
Frontier labClosedremote$293k–$385k
At a glance
Highlights
- Evaluate new hardware platforms by porting real-world AI workloads.
- Characterize performance across compute, memory, and networking.
- Guide platform readiness by turning findings into deployment decisions.
What they offer
- equity
- relocation assistance
Ideal candidate
A hands-on systems thinker who loves chasing bottlenecks across hardware and software and translating experiments into clear guidance for architecture teams.
Requirements
- Experience with performance analysis, benchmarking, or workload optimization.
- Strong understanding of system architecture, including CPU/GPU, memory, and I/O subsystems.
- Experience porting or adapting workloads across different hardware platforms.
- Familiarity with profiling tools and performance debugging techniques.
- Ability to identify root causes of performance issues across hardware/software boundaries.
- Experience working in large-scale or distributed system environments.
- remote policy
- 3 days in the 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