ChatGPT Performance Engineer
OpenAI · San Francisco · New York City · Seattle · US - Remote
CHECKED 1H AGO
Frontier labremotesenior$347k–$445k
At a glance
Highlights
- Optimize performance, reliability and efficiency for ChatGPT and developer API.
- Drive latency, throughput and cost-efficiency improvements across critical systems.
- Lead investigations into high-impact performance regressions in production.
What they offer
- Equity
Ideal candidate
Experienced systems thinker with 7+ years scaling distributed systems who thrives in ambiguity and cares about rigor, simplicity, and measurable impact on latency and efficiency.
Requirements
- 7+ years in software engineering with track record in performance or reliability of high-scale distributed systems
- Deeply comfortable with performance profiling tools and tracing systems
- Experience optimizing performance across stack layers including networking, storage, runtime and GPU utilization
- Strong understanding of OS internals, scheduling, memory management and IO patterns
- Contributed to observability, benchmarking or performance-focused infrastructure at scale
- Demonstrated success navigating ambiguity and aligning stakeholders around performance goals
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