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.
- 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.
View source and applyApply directlySource checked: 2026-10-22
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