Senior AI Performance and Efficiency Engineer
US, CA, Santa Clara, United States
USD 152K-287K Senior-level Full Time
Tasks
- Benchmark ML workloads and performance
- Build efficiency analysis tools and frameworks
- Collaborate with researchers to reduce infrastructure inefficiencies
- Debug and improve inference performance
- Debug and improve training performance
- Detect training and inference bottlenecks
- Investigate and resolve distributed training performance issues
- Monitor GPU cluster utilization patterns
- Optimize machine learning model efficiency
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Bash | CUDA | CUDA programming | Deep learning | Distributed Training | GCP | GPFS | Go | Inference Performance | Inference Performance Optimization | Infiniband | Lustre | MLPerf | Machine Learning | NCCL | NVIDIA GPUs | Nsight Compute | Nsight Systems | Parallel Computing | Performance optimization | PyTorch | Python | RDMA | TensorFlow | Training Performance Optimization
Education
Regions
Countries
States
Cities
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