
Autonomous Robotics System Architect
1 week ago
We are seeking a highly skilled and experienced robotics navigation software engineer to lead the development of autonomous navigation systems for our robots.
The ideal candidate will have deep expertise in SLAM, path planning, obstacle avoidance, and safety-critical navigation in dynamic environments. You will architect and optimize real-time navigation algorithms using C++, ROS 2, behavior trees, and modern software engineering practices.
- Design, develop, and optimize the navigation stack for localization, SLAM, path planning, and obstacle avoidance.
- Implement sensor fusion for robust pose estimation and dynamic obstacle avoidance.
- Develop safety-critical interrupt handling for emergency stops, collision prevention, and recovery behaviors.
- Architect scalable ROS 2-based navigation software with behavior trees for task-level decision-making.
- Optimize real-time performance of navigation algorithms in C++.
- Integrate hardware interrupts into the navigation system.
- Collaborate with manipulation and vision teams to ensure seamless coordination between navigation and cleaning operations.
- Conduct field testing and iterate on navigation robustness in real-world environments.
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 (OOP, design patterns).
- Strong background in LiDAR-based SLAM and path planners.
- Experience with behavior trees for task management.
- Knowledge of sensor fusion and wheel odometry tuning.
- Familiarity with Mecanum wheel kinematics and holonomic motion planning.
- Experience with real-time systems and safety-critical software.
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