Research Engineer, GPU Performance Optimization at Luma AI

Confirmed open

Optimize Luma AI’s multimodal model training and serving performance in a remote EU role.

Luma AI

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

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Role overview

Optimize Luma AI’s multimodal model training and serving performance in a remote EU role.

Employer-listed location: Remote, EU.

Responsibilities

Profile GPU and CPU workloads; write PyTorch, Triton and CUDA operations and fused kernels; improve distributed deployment and performance monitoring.

Qualifications

Expert GPU optimization, CUDA or Triton programming and knowledge of transformer internals are required.

Technology in this role

PyTorch: Profile GPU and CPU workloads; write PyTorch, Triton and CUDA operations and fused kernels; improve distributed deployment and performance monitoring.

How to apply

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

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Source checked: 2026-11-08