Perception Deployment Engineer

Caterpillar UK

Deep learning model deployment
Nvidia jetson orin platform experience
Tensorrt cuda cudnn optimization
The role involves deploying and optimizing deep learning perception models on NVIDIA embedded platforms like Jetson and Orin for autonomous mining vehicles

Job Summary

  • The role involves deploying and optimizing deep learning perception models on NVIDIA embedded platforms like Jetson and Orin for autonomous mining vehicles.
  • Candidates will utilize tools such as TensorRT, CUDA, and ONNX Runtime to accelerate end-side inference and optimize performance metrics including latency and power consumption.
  • This position requires close collaboration with algorithm, fusion, system, and hardware teams to ensure stable integration and long-term evolution of the perception module within the vehicle system.

Matching Summary

The role involves deploying and optimizing deep learning perception models on NVIDIA embedded platforms like Jetson and Orin for autonomous mining vehicles.

Skills & Requirements

Must-have

  • Deep learning model deployment
  • NVIDIA Jetson Orin platform experience
  • TensorRT CUDA cuDNN optimization
  • C++ and Python programming skills
  • LiDAR point cloud data processing
  • Linux Embedded system engineering

Nice-to-have

  • Multi-thread parallel computing
  • ROS2 DeepStream framework knowledge
  • Target detection segmentation understanding
  • System stability and maintainability focus
  • Long-term engineering capability building

Key Requirements

  • Bachelor's degree or higher in relevant field
  • Proficiency in C++ and Python coding
  • Experience with LiDAR point cloud algorithms
  • Proven embedded platform deployment experience

Work Rights

Not specified

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