Miclaw-大模型训练推理方向实习生
Tasks
- Analyze system performance bottlenecks
- Collaborate on model chip co design
- Convert research results into engineering solutions
- Evaluate model performance on edge scenarios
- Optimize model structure and inference strategies
- Reproduce model inference optimization techniques
Perks/Benefits
- N/A
Skills/Tech-stack
Attention Mechanism | C++ | CUDA | Compiler optimization | FlashAttention | High Performance | High-Performance Computing | Integer Quantization | KV cache | Operator optimization | Parallel Computing | Performance Computing | Python | Quantization | Speculative decoding
Education
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