Principal ML Performance Engineer - GPU Optimization
Listed on 2026-10-11
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Proxima is seeking a Principal ML Performance Engineer to optimize training and inference for structural and generative models, with a focus on CUDA, Triton, and distributed training across large GPU clusters. You will profile bottlenecks, write efficient kernels, and drive multi-node scalability.
As a senior leader, you will scale training across 32–64 nodes, reduce inference costs on thousands of GPUs, and mentor engineers while defining technical direction for the team.
For the Principal ML Performance Engineer - GPU Optimization position at Sponsor Finder, we are reviewing applications now.
If your experience matches this role, we encourage you to apply.
All applications are reviewed carefully by our team.
The position is based in Boston, England, United Kingdom.
This opportunity is part of our work in IT & Technology.
The advertised compensation is 113..
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