Research Engineer - LLM Training Infrastructure - Seed Infra
Seattle, Washington, United States
USD 241K-456K Senior-level Full Time
Tasks
- Analyze performance bottlenecks in exascale training systems
- Conduct research and develop LLM training infrastructure and efficiency
- Design and optimize distributed training strategies for LLMs
- Investigate system reliability and resilience techniques
- Propose data driven optimization methods
- Research and optimize network scheduling and GPU memory management
- Translate research ideas into scalable AI infrastructure solutions
Perks/Benefits
- 401k match
- Dental insurance
- Health insurance
- Life insurance
- Long-term disability
- Paid Holidays
- Paid parental leave
- Paid personal time
- Paid sick days
- Short-term disability
- Vision insurance
- Wellbeing benefits
Skills/Tech-stack
C++ | CUDA | Checkpointing | Data parallelism | Distributed Training | Expert parallelism | FSDP | Fault Tolerance | GPU memory | GPU memory management | Machine Learning | Memory Management | Model Parallelism | NCCL | Network scheduling | Performance optimization | Pipeline parallelism | PyTorch | Python
Education
N/A
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