System Performance Engineer, Consumer Devices
OpenAI · San Francisco
CHECKED 2H AGO
Frontier labremote$347k–$385k
At a glance
Highlights
- Build next-gen AI-powered devices blending hardware and software.
- Define product KPIs and track launch readiness through real-world use.
- Profile end-to-end behavior and drive optimizations across software stack.
What they offer
- Relocation assistance
- Equity
Ideal candidate
Embedded systems performance expert who loves chasing bottlenecks under tight constraints and shaping fluid user experiences through data-driven collaboration across hardware and software teams.
Requirements
- Deep experience shipping embedded or high-performance systems on Linux, Android, or iOS devices
- Strong proficiency in C/C++, Python, or Rust with operating systems fundamentals
- Proven track record shipping real-time systems under tight latency, power, and memory constraints
- Expertise with profiling and debugging tools such as Perfetto, GDB, LLDB, perf, ftrace, or Instruments
- Experience building instrumentation, analytics, and performance tuning frameworks
- remote policy
- 4 days in office, 1 day remote 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