Member of Technical Staff, Performance Optimization
Tasks
- Analyze and improve latency throughput memory usage and compute efficiency
- Build performance benchmarking and monitoring infrastructure
- Collaborate with ML researchers on hardware efficient model design
- Evaluate and integrate optimizations for hardware accelerators and specialized runtimes
- Implement low level optimizations with CUDA and Triton
- Improve execution speed and resource utilization
- Improve mixed precision quantization and model graph optimization
- Optimize system and GPU performance for AI workloads
- Profile GPU and kernel bottlenecks
- Scale inference and training across multi GPU multi node environments
Perks/Benefits
- N/A
Skills/Tech-stack
CUDA | CUPTI | Distributed Systems | GPU Profiling | Infiniband | Kernel optimization | Kubernetes | Mixed Precision | Model Optimization | NVProf | Nsight | Parallel Programming | PyTorch | Quantization | RDMA | ROCm | RoCE | Torch compile | Triton | XLA
Education
Roles
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