Senior Engineering Manager, AI Runtime
Mountain View, California; San Francisco, California
USD 228K-297K Senior-level Full Time
Tasks
- Architect managed GPU training systems
- Build observability and reliability practices
- Define product and technical roadmap
- Develop operational runbooks
- Drive end-to-end delivery
- Implement checkpointing and failure recovery
- Lead and mentor engineering team
- Partner with recruiting to hire talent
Perks/Benefits
- N/A
Skills/Tech-stack
Checkpointing | Cluster Lifecycle Management | Cluster lifecycle | DeepSpeed | Distributed Training | Elastic Training | FSDP | Fault Tolerance | GPU Performance | GPU Performance Optimization | Lifecycle Management | Megatron-LM | NCCL | Observability | Performance optimization | Pipeline parallelism | PyTorch | Tensor Comprehension | Tensor Parallelism
Education
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
Regions
Countries
States
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