Research Engineer - LLM Training Infrastructure - Seed Infra
San Jose, California, United States
USD 254K-480K Senior-level Full Time
Tasks
- Analyze performance bottlenecks in exascale training systems
- Conduct research and development on large scale LLM training infrastructure
- Design and optimize distributed training strategies for LLMs
- Investigate system reliability and resilience
- Research and optimize network scheduling and GPU memory management
- Translate research ideas into scalable AI infrastructure solutions
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | CUDA | Checkpointing | Distributed Training | Fault Tolerance | GPU memory | GPU memory management | Job Scheduling | Machine Learning | Memory Management | NCCL | Network Optimization | Parallelism | Performance optimization | PyTorch | Python
Education
N/A
Roles
Regions
Countries
States
Cities
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