Principal AI Engineer - Unmanned Autonomous Systems (Internal Use)

· Design and integrate complex mechanical, electrical, and software components for autonomous robotic systems. · Develop and implement advanced algorithms for navigation, obstacle avoidance, and coordinated mission execution. · Create multi-modal perception systems using sensor fusion (e.g., LiDAR, cameras, IMUs) for environmental mapping and object recognition. · Integrate flight controllers and autopilot systems (e.g., PX4) into system architectures to ensure seamless communication and control. · Conduct system-wide debugging, integration testing, and performance tuning in both simulation (e.g., AirSim, Gazebo SITL with PX4) and real-world environments. · Develop methodologies for fault detection, redundancy, and failure recovery to enhance system reliability. · Optimize overall system performance and energy efficiency for extended operations under dynamic conditions. · Collaborate with interdisciplinary teams (AI researchers, control engineers, hardware designers) to ensure seamless system functionality. · Prototype, test, and iterate on novel autonomous capabilities in simulation and field environments. Requirements Required Qualifications: · Master’s or PhD in Robotics, Mechanical Engineering, AI, or a closely related field. · 3+ years of hands-on experience in autonomous systems development or equivalent R&D experience (strong research records from PhD candidates are encouraged). · Proficiency in C++ and Python; experience with ROS is a plus. · Strong background in sensor fusion, SLAM, and multi-agent coordination. · Demonstrated experience with flight controllers or autopilot systems (e.g., PX4) in robotic platforms is highly desirable. Preferred Qualifications: · Postdoctoral research experience in robotics, autonomous systems, or related fields. · Experience with AI-driven decision-making and learning-based autonomy. · Proficiency in simulation platforms (e.g., AirSim, Gazebo SITL with PX4, CoppeliaSim) and rapid prototyping. · A strong publication record in robotics, AI, or autonomous systems research.