Research Scientist / Engineer – Training Infrastructure

Luma AI · Redwood City

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Company
Luma AI
Location
Redwood City
Employment type
Full-time
Posted
July 24, 2026

About this job

You'll build the distributed systems that train Luma's large-scale multimodal models across thousands of GPUs, so researchers can focus on innovation on top of reliable, efficient, scalable infrastructure. This is hard PyTorch, CUDA, and distributed-systems work — advanced parallelism, training stability, and utilization across massive clusters. It fits an engineer who's solved real problems training foundation models at scale. If you haven't worked at the level of FSDP and multi-node training, this is the wrong depth. What You'll Own - Design, implement, and optimize efficient distributed training systems for models across thousands of GPUs. - Research and implement advanced parallelization (FSDP, Tensor Parallel, Pipeline Parallel, Expert Parallel).…

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