具身大模型训练框架工程师
Tasks
- Build unified training framework for embodied foundation models
- Develop distributed training system for large scale models
- Implement large scale post training and hybrid reinforcement learning systems
- Measure and profile IO operators and communication overlap
- Optimize training efficiency across data compute communication scheduling
- Reproduce and engineerize frontier models and algorithms
- Validate correctness effectiveness and performance using benchmarks
Perks/Benefits
- N/A
Skills/Tech-stack
CUDA | CUDA graph | Data parallelism | DeepSpeed | Distributed Training | Low Precision | Low-precision training | Megatron | Mixture of Experts | Model Parallelism | Model profiling | Pipeline parallelism | PyTorch | Python | RDMA | Reinforcement Learning | Sequence parallelism | System design | Tensor Parallelism | Triton
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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