Research Scientist - LLM Training System as a Service - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
San Jose, California, United States
USD 218K-480K Entry-level Full Time
Tasks
- Develop and optimize LLM inference framework
- Develop and optimize LLM training framework
- Develop and optimize reinforcement learning framework
- Improve distributed training and inference efficiency
- Optimize GPU and CUDA performance
- Scale LLM training and reinforcement learning with model researchers
Perks/Benefits
- 401k match
- Life insurance
- Long-term disability
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid parental leave
- Paid personal time
- Paid sick days
- Short-term disability
- Wellbeing benefits
Skills/Tech-stack
Access Optimization | Algorithms | CUDA | Computer Architecture | Data Structures | Data parallelism | Deep learning | DeepSpeed | FSDP | Fully Sharded Data Parallelism | GPU Performance | GPU Performance Optimization | JAX | Low-bit computing | Megatron-LM | Memory access | Memory access optimization | Neural Networks | Parallel Computing | Performance optimization | PyTorch | Python | SGLang | SPMD | Sharded Data Parallelism | TensorRT | TensorRT-LLM | VLLM
Education
Roles
Regions
Countries
States
Cities
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