AI/HPC System Performance Engineer
Menlo Park, CA
USD 163K-225K (estimate) Senior-level Full Time Found 23h ago
Tasks
- Assess trade-offs and make pragmatic decisions
- Benchmark, monitor, and troubleshoot communication performance
- Define technical strategy and multi-year roadmap
- Develop solutions for large scale training systems
- Ensure performance and availability of network systems
- Guide AI network architecture and topologies
- Lead multidisciplinary teams
Perks/Benefits
- N/A
Skills/Tech-stack
AI Training | AI Training Workloads | C++ | Communication libraries | Congestion Control | Distributed applications | Host Networking | Host Networking Protocols | Message Passing Interface | Message passing | NCCL | Network Infrastructure | Network Performance | Network Performance Tuning | Networking protocols | Performance Benchmarking | Performance Tuning | PyTorch | RDMA | TensorFlow | Training workloads | Troubleshooting | UCX
Education
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