Perception Algorithm Engineer

Caterpillar Inc.

Multi-sensor fusion perception system
Bev perception occupancy grid
Lidar point cloud processing
Design and optimize multi-sensor fusion perception systems for autonomous mining vehicles, including lidar, cameras, and millimeter-wave radar, to achieve high-precision environmental modeling and target recognition

Job Summary

  • Design and optimize multi-sensor fusion perception systems for autonomous mining vehicles, including lidar, cameras, and millimeter-wave radar, to achieve high-precision environmental modeling and target recognition.
  • Develop and iterate perception detection and fusion algorithms such as BEV perception, Occupancy Grid, semantic segmentation, and target tracking to enhance system robustness in complex terrains and extreme weather conditions.
  • Deploy perception algorithms on automotive-grade embedded platforms like NVIDIA Orin, optimizing computational efficiency and resource utilization for engineering implementation.

Matching Summary

Design and optimize multi-sensor fusion perception systems for autonomous mining vehicles, including lidar, cameras, and millimeter-wave radar, to achieve high-precision environmental modeling and target recognition.

Skills & Requirements

Must-have

  • multi-sensor fusion perception system
  • BEV perception Occupancy Grid
  • lidar point cloud processing
  • deep learning algorithms
  • C++ and Python programming
  • embedded platform deployment

Nice-to-have

  • problem analysis and resolution
  • team collaboration and communication
  • industrial scene autonomous driving
  • open-source autonomous driving platforms

Key Requirements

  • Master's degree or above
  • 3+ years of experience
  • autonomous driving or robotics perception
  • mining autonomous driving experience
  • complete project development and deployment

Work Rights

Not specified

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