具身大模型训练框架工程师/专家
Tasks
- Build large scale distributed training system
- Build large scale reinforcement learning post training system
- Build unified training framework for embodied intelligence
- Design checkpoint and fault recovery
- Develop high performance inference and automated evaluation system
- Enable topology aware scheduling and elastic scheduling
- Implement hybrid parallelism and optimization techniques
- Manage model versions and evaluation results
- Optimize cluster infrastructure for data IO and GPU compute
- Perform profiling and system performance optimization
Perks/Benefits
- N/A
Skills/Tech-stack
CUDA | Checkpointing | Collective communication | Computer Vision | Data parallelism | DeepSpeed | Distributed Training | Expert parallelism | FSDP | Fault Tolerance | Inference | Megatron-LM | Model Evaluation | Model Parallelism | Pipeline parallelism | Profiling | PyTorch | Python | Reinforcement Learning | Sequence parallelism | Tensor Parallelism
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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