Lead the strategy and execution of the robotics foundation model team, ensuring reliable and scalable AI technology for real-world robots.
About this role
The role develops Fleet Management System (FMS) software to coordinate autonomous mobile robots in logistics and industrial settings. It connects fleet-level decisions with robot autonomy and also contributes to navigation and path planning. Responsibilities cover task allocation, dispatch, scheduling, fleet monitoring and traffic management, including resource reservation and deadlock recovery. The engineer builds interfaces to robot autonomy stacks and integrates navigation, localization, perception, control and hardware. Work also includes route planning, obstacle avoidance, third-party software integration, and diagnosing failures with telemetry, simulation and real-robot tests. Applicants need a bachelor's or master's in computer science, robotics, electrical engineering or a related field; 3+ years developing robotics, autonomous-system or mobile-robot software; and strong C++, Linux/Ubuntu and hands-on ROS/ROS2 skills. Required knowledge includes mobile-robot navigation and autonomous systems, fleet management, multi-robot coordination, task planning or traffic management, path planning and obstacle avoidance. Experience with AMRs, AGVs, AGFs, autonomous vehicles or similar robots, plus system integration, debugging and deployment on real robots, is also required.
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