Software Engineer, ML Performance Optimization
Tasks
- Collaborate with cross-functional teams on architectural decisions
- Design ML training and inference performance optimization techniques
- Implement and operate ML training and inference systems
- Optimize GPU accelerated model inference
- Optimize distributed model training performance
- Profile model training and serving bottlenecks
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | CUDA | Distributed Training | GPU | Model Compression | Model Distillation | Model Pruning | Model Quantization | NVIDIA Nsight | Profiling | PyTorch | PyTorch Profiler | Python | TensorRT
Education
N/A
Roles
Regions
Countries
States
Cities
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