Luma seeks an engineer to build and optimize distributed training systems for multimodal models across thousands of GPUs. You will tackle advanced parallelism, training stability, and utilization across massive clusters to empower researchers with reliable, scalable infrastructure.
This role focuses on real problems at scale, including FSDP, multi-node training, and efficient communication. You will develop monitoring tools and automation to keep large runs stable and productive.
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Are you ready to take on the Distributed Training Engineer for Large-Scale GPU Clusters role at Luma?
If your experience matches this role, we encourage you to apply.
All applications are reviewed carefully by our team.
The position is based in Greater London, England, United Kingdom.
This opportunity is part of our work in IT & Technology, Other.
The advertised compensation is 120.000 - 160.000.