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Training Performance Engineer

OpenAI

San Francisco·$295,000 - $500,000

$295,000 - $500,000

mid

RemoteSoftware engineering

Source checked 8 hours ago.

Posted 11 months ago.

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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 where they are and moves with them up the scaling curve.

Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes.

We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams.
Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products).

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