Robotics Autonomy Engineer-planning And Control (federal)

Autonomy Work

Irvine, CA, United States
On-site
Motion planning algorithms
Trajectory generation
Control algorithms
Develop robust motion planning algorithms for challenging real-world scenarios

Job Summary

  • Develop robust motion planning algorithms for challenging real-world scenarios.
  • Advance control and planning integration for seamless coordination across autonomy layers.
  • Validate and test across the stack, from unit-level validation to full robot deployment.

Matching Summary

Develop robust motion planning algorithms for challenging real-world scenarios.

Skills & Requirements

Must-have

  • motion planning algorithms
  • trajectory generation
  • control algorithms
  • ROS/ROS 2 familiarity
  • C++ and Python programming
  • Linux-based systems

Nice-to-have

  • real-world deployment experience
  • optimization-driven approaches
  • learning-based or hybrid planning
  • open-source contributions

Key Requirements

  • Master's degree or higher
  • Experience with robotic systems
  • Familiarity with motion planning libraries
  • Experience with robot sensors
  • Ability to work on US government project

Work Rights

Ability to work on US government project

Tailored Resume

Cover Letter