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Scientist, Edge Inference & Optimization(J31980)

Chery · 美国·加利福尼亚·旧金山, 香港特别行政区, 北京市, 上海市

External listingFull-timeabout 1 month ago

About The Role

  • "1.Develop model compression and optimization technologies for in-vehicle edge devices
  • 2.Develop low-power and high-performance edge-side inference algorithms
  • 3.Promote the efficient deployment of the model on in-vehicle chips
  • <4.Build> an intelligent computing architecture featuring end-cloud collaboration"
  • "Over 3 years of experience in embedded AI or model optimization, proficient in frameworks such as TFLite, ONNX, and TensorRT.
  1. Have experience in successfully deploying large models on heterogeneous computing platforms such as NPU/GPU.
  2. Proficient in model compression techniques (quantization, pruning, distillation), and capable of independently leading the performance optimization of edge-side inference.
  3. Outstanding underlying system optimization and chip collaborative design capabilities."

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