Collaborate closely with infra, platform, training, and product teams to identify key performance goals and drive systemic improvements.
Influence architecture and design decisions to prioritize latency, throughput, and efficiency at scale.
Lead investigations into high-impact performance regressions or scalability issues in production.
Drive performance testing strategies and help define SLAs/SLOs around latency and throughput for critical systems.
YOU MIGHT THRIVE IN THIS ROLE IF YOU
Have 7+ years of experience in software engineering with a strong track record in performance or reliability of high-scale distributed systems.
Are deeply comfortable with performance profiling tools and tracing systems.
Have experience optimizing performance across one or more layers of the stack (e.g., database, networking, storage, application runtime, GC tuning, Python/Golang internals, GPU utilization).
Have a strong understanding of OS internals, scheduling, memory management, and IO patterns.
Have contributed to observability, benchmarking, or performance-focused infrastructure at scale.
Have demonstrated success navigating ambiguity and aligning stakeholders around performance goals.
Value simplicity, rigor, and collaboration when solving complex systems problems.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
