Machine Learning Performance Engineer
London, England, United Kingdom
GBP 70K-85K (estimate) Mid-level Full Time
Tasks
- Debug training performance bottlenecks
- Evaluate throughput and goodput tradeoffs
- Improve CUDA performance
- Investigate storage networking and host GPU interactions
- Optimize distributed GPU training communication
- Optimize inference latency and throughput in real time systems
- Optimize memory hierarchy usage
- Optimize model training performance end to end
- Profile GPU workloads
Perks/Benefits
- N/A
Skills/Tech-stack
CUB | CUBLAS | CUDA | CUDA GDB | CUDNN | Cooperative groups | Cutlass | GPU Architecture | GPUDirect | Infiniband | MPI | Machine Learning | NCCL | NVLink | Nsight Compute | Nsight Systems | PTX | RoCE | SASS | Tensor cores | Thrust | Triton | Warp scheduling
Education
N/A
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