Training Performance Engineer
About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers wh
What this role actually needs.
About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers wh Responsibilities: - Profile end-to-end training runs to identify performance bottlenecks across compute, communication, and storage. - Optimize GPU utilization and throughput for large-scale distributed model training. - Collaborate with runtime and systems engineers to improve kernel efficiency, scheduling, and collective communication performance. - Implement model graph transforms to improve end to end throughput. - Build tooling to monitor and visualize MFU, throughput, and uptime across clusters. - Partner with researchers to ensure new model architectures scale efficiently during pre-training. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Training Performance Engineer role.
- Profile end-to-end training runs to identify performance bottlenecks across compute, communication, and storage.
- Optimize GPU utilization and throughput for large-scale distributed model training.
- Collaborate with runtime and systems engineers to improve kernel efficiency, scheduling, and collective communication performance.
- Implement model graph transforms to improve end to end throughput.
- Build tooling to monitor and visualize MFU, throughput, and uptime across clusters.
- Partner with researchers to ensure new model architectures scale efficiently during pre-training.
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Source: jobs.ashbyhq.com · Source ID: 6eb386ac-9056-4795-aa79-a27e105faf5c · Confidence: 97/100 · Last checked: May 7, 2026
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