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.…