顶尖应届-具身大模型训练推理工程师-机器人事业部
Tasks
- Build high throughput data pipeline
- Construct self distillation and self evolution pipelines
- Design distributed training solutions
- Design multimodal model inference architectures
- Develop inference acceleration and deployment optimizations
- Implement large scale experiment tracking
- Implement operator fusion optimizations
- Optimize mixed precision training
- Visualize metrics and support model iteration
Perks/Benefits
- N/A
Skills/Tech-stack
BF16 | C++ | CUDA | Data pipeline | DeepSpeed | Diffusion Models | Distributed Training | Experiment tracking | FP8 | FSDP | FlashAttention | GPU Performance | GPU Performance Optimization | Infiniband | Linux | MOE | Megatron-LM | Mixture of Experts | Model Deployment | NCCL | ONNX Runtime | Operator fusion | Performance optimization | PyTorch | Python | Quantization | RDMA | Shard strategy | TensorRT | Transformer | Triton
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science
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