Perception Algorithm Engineer

Caterpillar Inc.

Multi-sensor fusion perception system
Bev perception, occupancy grid
C++, python programming skills
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
  • C++, Python programming skills
  • lidar point cloud processing
  • deep learning algorithms for lidar
  • object detection, semantic segmentation

Nice-to-have

  • industrial scene autonomous driving experience
  • passenger or commercial vehicle ADAS
  • familiarity with Apollo, Autoware
  • embedded platform deployment optimization

Key Requirements

  • Master's degree or above
  • 3+ years of perception algorithm R&D experience
  • Mining autonomous driving perception experience
  • Familiarity with lidar, camera, radar data
  • Understanding of mainstream perception algorithms

Work Rights

Not specified

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