AI/HPC System Performance Engineer, PhD
Menlo Park, CA
USD 163K-225K (estimate) Entry-level Full Time Found 14d ago
Tasks
- Benchmark performance
- Develop solutions for large scale training systems
- Enhance network fabric and host networking
- Identify and resolve performance issues across stack
- Monitor and troubleshoot network performance
- Optimize communication libraries and scheduling infrastructure
Perks/Benefits
- N/A
Skills/Tech-stack
AI Training | AI Training Workloads | C++ | Distributed Systems | Host Networking | Learning frameworks | MPI | Machine Learning | Machine Learning Frameworks | NCCL | Network Protocols | Performance Tuning | PyTorch | RDMA | System Software | TensorFlow | Training workloads | Troubleshooting | UCX
Education
Bachelor's | Computer Engineering | Electrical Engineering | Master's | PhD in Computer Science
Regions
Countries
States
Cities
Language: en |
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