Luma AI is seeking a Staff AI Infrastructure Engineer to own the reliability of our large GPU fleet, spanning scheduling, efficiency, and resilience. This role involves close-to-the-metal work with kernels, containers, schedulers, networking, and storage, under high-demand conditions.
You will lead and grow a team, partner with research, and shape how infrastructure evolves as models scale, ensuring latency remains predictable while performance improves.
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