Research Scientist, AI Networking (PhD)
Tasks
- Develop distributed ML communication software
- Enable large-scale GPU training and inference
- Improve GPU communication performance
- Optimize ML frameworks and infrastructure
Perks/Benefits
- N/A
Skills/Tech-stack
CUDA | Distributed ML | Distributed ML training | GPU Architecture | High Performance | High-Performance Computing | Learning frameworks | ML training | Machine Learning | Machine Learning Frameworks | NCCL | Networking protocols | Performance Computing | Performance optimization | PyTorch
Education
Roles
AI | AI Networking Engineer | Engineer | Networking Engineer | Research Scientist | Scientist
Regions
Countries
States
Cities
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