GPU Systems Architect

4 days ago


London, Greater London, United Kingdom Jane Street Full time
About Jane Street

We are a forward-thinking company that prioritises innovation and technical excellence. Our machine learning team is driving significant advancements in the field, and we require an experienced engineer to help us push the boundaries even further.

Job Description

We are seeking an engineer with exceptional skills in low-level systems programming and optimisation to improve the performance of our machine learning models. The ideal candidate will have a deep understanding of GPU systems, including PTX, SASS, warps, cooperative groups, Tensor Cores, and memory hierarchy.

Key Requirements
  • Expertise in low-level GPU knowledge and debugging
  • Strong understanding of collective algorithms supporting distributed GPU training in NCCL or MPI
  • Experience with library knowledge of Triton, CUTLASS, CUB, Thrust, cuDNN, and cuBLAS
  • Ability to design and implement system-level optimisations for machine learning models
  • Excellent problem-solving skills and ability to collaborate with the ML team
Salary: $220,000 - $280,000 per year
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