Research Engineer, Distributed Training Infrastructure at Luma AI

Confirmed open

Build infrastructure for training Luma AI’s multimodal models across large GPU clusters in a remote EU role.

Luma AI

Location: Remote
Employment: FullTime
Work arrangement: remote
Technologies: PyTorch, Linux

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Role overview

Build infrastructure for training Luma AI’s multimodal models across large GPU clusters in a remote EU role.

Employer-listed location: Remote, EU.

Responsibilities

Implement distributed PyTorch training, parallelization, run monitoring and debugging; improve stability, convergence and GPU utilization.

Qualifications

Experience with large-scale foundation-model training, FSDP, GPU clusters and distributed systems is central.

Technology in this role

PyTorch: Implement distributed PyTorch training, parallelization, run monitoring and debugging; improve stability, convergence and GPU utilization.

How to apply

Review the original posting and apply through the employer’s careers page.

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Source checked: 2026-10-22