Path Planning Specialist for Autonomous Navigation Systems

2 weeks ago

Singapore beBeeRobotics Full time $90,000 - $120,000
Autonomous Navigation Systems Engineer Job Opportunity

We are seeking a seasoned software professional to spearhead the development of our autonomous navigation system.

  • Design, develop, and optimize the navigation stack for a Mecanum-wheeled robot.
  • Implement sensor fusion for robust pose estimation and dynamic obstacle avoidance.
  • Develop safety-critical interrupt handling for emergency stops and collision prevention.
  • Architect scalable ROS 2-based navigation software with behavior trees.
  • Optimize real-time performance of navigation algorithms in C++.
  • Integrate hardware interrupts into the navigation system.
  • Collaborate with manipulation & vision teams for seamless coordination.
  • Conduct field testing and iterate on navigation robustness.

Key Responsibilities:

  • Design, develop, and optimize the navigation stack for a Mecanum-wheeled robot.
  • Implement sensor fusion for robust pose estimation and dynamic obstacle avoidance.
  • Develop safety-critical interrupt handling for emergency stops and collision prevention.
  • Architect scalable ROS 2-based navigation software with behavior trees.
  • Optimize real-time performance of navigation algorithms in C++.
  • Integrate hardware interrupts into the navigation system.
  • Collaborate with manipulation & vision teams for seamless coordination.
  • Conduct field testing and iterate on navigation robustness.

Required Skills & Qualifications:

  • PhD/MS in Robotics, Computer Science, or related field.
  • 5+ years of experience in robotics navigation (SLAM, path planning, obstacle avoidance).
  • Expert in C++, ROS 2, and modern software architecture.
  • Strong background in LiDAR-based SLAM and path planners.
  • Experience with behavior trees, sensor fusion, and wheel odometry tuning.
  • Familiarity with Mecanum wheel kinematics and holonomic motion planning.
  • Experience with real-time systems and safety-critical software.

The successful candidate will have a strong foundation in robotics and computer science, as well as significant experience in robotics navigation. We offer a competitive compensation package, opportunities for career growth, and a collaborative work environment.

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