Research MLE (Training Optimization）大模型训练优化工程师
Beijing, Beijing, China
CNY 144K-240K (estimate) Senior-level Full Time
Tasks
- Collaborate with research and modeling teams
- Debug profile and fine tune training workflows
- Design distributed training systems
- Develop low level optimization for training
- Evaluate and apply distributed training best practices
- Implement and optimize large scale machine learning systems
- Improve GPU utilization
- Optimize memory efficiency
- Reduce communication overhead
- Write custom CUDA or Triton kernels
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | CUDA | DeepSpeed | Distributed Training | FSDP | GPU Kernel | GPU kernel optimization | Gradient Checkpointing | JAX | Kernel optimization | Low Precision | Megatron-LM | NVIDIA Nemo | PyTorch | Python | Rust | Triton | Zero
Education
N/A
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