Machine Learning Performance Engineer
New York, New York, United States
USD 174K-287K (estimate) Mid-level Full Time
Tasks
- Analyze networking bottlenecks
- Analyze storage system bottlenecks
- Debug training run performance end to end
- Implement and optimize distributed GPU training collectives
- Improve CUDA performance
- Optimize inference throughput
- Optimize model inference latency
- Optimize model training performance
- Profile CUDA kernels and memory hierarchy
- Tune GPU host and GPU performance
Perks/Benefits
- N/A
Skills/Tech-stack
CUB | CUBLAS | CUDA | CUDA GDB | CUDA Graphs | CUDNN | Cooperative groups | Cutlass | GPU memory | GPU memory hierarchy | GPUDirect | Infiniband | MPI | Machine Learning | Memory hierarchy | NCCL | NVLink | Nsight Compute | Nsight Systems | PTX | RoCE | SASS | Tensor cores | Thrust | Triton | Warp synchronization
Education
N/A
Regions
Countries
States
Cities
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