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 interdisci...

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