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

Create a free application profile — Keep your skills and projects in a reusable profile. Private by default; you choose when to share. Apply for this job directly with the employer.

By continuing, you agree to processing needed to manage your account and profile. Privacy policy

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.

View source and apply Apply directly

Source checked: 2026-11-08