Principal AI Engineer - Robotics Control (Internal Use)

• Design and implement advanced control algorithms (e.g., PID, adaptive control, model predictive control) tailored for autonomous robotic platforms.
• Optimize motion planning and path control strategies to enhance multi-robot coordination and operational efficiency.
• Develop real-time control architectures that leverage edge computing for low-latency decision-making.
• Integrate adaptive learning techniques to continuously refine control performance, particularly for dynamic systems.
• Develop and test control algorithms in both simulation and real-world experiments, utilizing aerial simulation tools (e.g., PX4 SITL, AirSim) when applicable.
• Collaborate with interdisciplinary teams to integrate control systems with AI, sensor fusion, and hardware subsystems.

• Master’s or PhD in Robotics, Control Systems, or a related field.
• 3+ years of experience in robotics control system...

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