The Principal AI Engineer will design and implement advanced control algorithms for autonomous robotic platforms, optimizing motion planning and coordination. This role involves developing real-time control architectures and integrating with AI, sensor fusion, and hardware. Collaboration with interdisciplinary teams is crucial.
Requirements
- Master’s or PhD in Robotics, Control Systems, or a related field.
- 3+ years of experience in robotics control system development or equivalent R&D experience.
- Strong background in control theory, state estimation, and optimization for autonomous systems.
- Proficiency in C++, Python, and ROS.
- Experience with real-time control systems (aviation experience is a plus).
- Familiarity with traditional model-based control methods and learning-based control approaches.