Machine Learning Performance Engineer
New York, New York, United States
USD 160K-287K (estimate) Mid-level Full Time
Tasks
- Debug training performance end to end
- Evaluate goodput and throughput tradeoffs
- Improve inference throughput
- Improve large-scale training efficiency
- Integrate storage and networking for ML performance
- Optimize CUDA kernels
- Optimize GPU cluster networking
- Optimize model inference latency
- Optimize model training performance
- Profile GPU performance
Perks/Benefits
- N/A
Skills/Tech-stack
Asynchronous Memory Loading | CUB | CUBLAS | CUDA | CUDA GDB | CUDA Graphs | CUDNN | Cutlass | GPU Performance | GPU Performance Optimization | GPUDirect | Infiniband | MPI | Machine Learning | Memory loading | NCCL | NVLink | Nsight Compute | Nsight Systems | PTX | Performance optimization | RoCE | SASS | Tensor cores | Thrust | Triton
Education
N/A
Regions
Countries
States
Cities
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