Principal Robotics Engineer at Automated Tire, Inc.
Sydney, New South Wales, United States
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Summary
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Matthew Kwan is a Principal Robotics Engineer with 14 years of experience designing real-time sensor processing, perception, and autonomy solutions in C++, Python, and ROS for drones and ground vehicles. He has led multimillion-dollar programs in decentralized swarm autonomy, PX4-based UAS systems, and GPS-denied navigation—delivering production perception pipelines, custom object detectors, and EKF-based sensor fusion that materially increased program funding. Comfortable in both hands-on engineering and project leadership, he has written competitive technical proposals, managed budgets and demo events, and mentored junior engineers while launching a formal mentorship program. His recent work builds camera-based AI classifier systems for early-stage products, and his academic work fused transformer LLMs with driving trajectory data to make structured ego-motion predictions—an uncommon blend of large-model research and embedded, low-latency robotics engineering. Based in Sydney, he is driven to tackle hard autonomy problems across swarming, wireless sensor networks, and creative tech pursuits.
14 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering, Bachelor of Science - BS Electrical Engineering at Tufts University
Master of Science in Engineering - MSE Robotics Engineering, Master of Science in Engineering - MSE Robotics Engineering at University of Michigan-Dearborn
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Matthew Kwan - Principal Robotics Engineer at Automated Tire, Inc.