Individual-contributor Performance Engineer optimizing latency, throughput and cost-efficiency across ChatGPT and the OpenAI API infrastructure.
Responsibilities
- ▹Analyze and optimize performance across application, middleware, runtime and infrastructure layers, including networking, storage, Python runtime and GPU utilization
- ▹Develop tooling and metrics for deep observability into system performance
- ▹Collaborate with infra, platform, training and product teams to identify performance goals
- ▹Influence architecture and design decisions to prioritize latency, throughput and efficiency
- ▹Lead investigations into high-impact performance regressions or scalability issues in production
- ▹Drive performance testing strategies and define SLAs/SLOs for critical systems
Requirements
- ▹7+ years of software engineering experience with a track record in performance or reliability of high-scale distributed systems
- ▹Deep comfort with performance profiling and tracing tools
- ▹Experience optimizing performance across the stack: database, networking, storage, application runtime, GC tuning, Python/Golang internals or GPU utilization
- ▹Strong understanding of OS internals, scheduling, memory management and IO patterns
- ▹Experience contributing to observability, benchmarking or performance-focused infrastructure at scale
Soft skills
Success navigating ambiguity and aligning stakeholders around performance goalsValues simplicity, rigor and collaboration when solving complex systems problems
About the company
OpenAI is an AI research and deployment company whose mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The company pushes the boundaries of AI capabilities while placing safety and human needs at the core of its work, and operates as an equal opportunity employer.
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