Planning Engineer

Caterpillar of Australia

Hybrid
Master's degree in engineering or computer science
Path planning algorithms a* rrt hybrid a*
Vehicle dynamics and non-holonomic constraints
This role involves designing task-level route planning and behavior strategies for heavy mining vehicles in unstructured environments

Job Summary

  • This role involves designing task-level route planning and behavior strategies for heavy mining vehicles in unstructured environments.
  • Candidates must possess strong skills in trajectory optimization, velocity planning, and system integration with perception modules.
  • The position requires validating algorithms through both simulation platforms and real-world vehicle testing to ensure safety and reliability.

Matching Summary

This role involves designing task-level route planning and behavior strategies for heavy mining vehicles in unstructured environments.

Skills & Requirements

Must-have

  • Master's degree in Engineering or Computer Science
  • Path planning algorithms A* RRT Hybrid A*
  • Vehicle dynamics and non-holonomic constraints
  • C++ Python MATLAB programming proficiency
  • ROS ROS2 middleware experience
  • Unstructured environment simulation and testing

Nice-to-have

  • Machine learning and reinforcement learning knowledge
  • Experience with autonomous driving open source projects
  • Optimization solver familiarity OSQP Ipopt
  • Top-tier conference publication record
  • Road test field experience

Key Requirements

  • Master's degree required in Automation Control Vehicle Engineering or related field
  • Prior experience in autonomous or intelligent driving planning projects
  • Strong English literature reading capability

Work Rights

Not specified

Tailored Resume

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