Develop and operate systems from in-car to cloud, focusing on backend and vehicle agent areas, with full-cycle ownership.
About this role
Develops autonomous-driving software for industrial and off-road vehicles in yards, construction and quarry sites. Product or advanced development may be assigned according to expertise, addressing unclear boundaries, rough terrain, dust and large-vehicle dynamics. Work spans perception, planning, control, localization or calibration, from reusable components to Autoware integration. C++ and ROS 2 are used with cameras, LiDAR, radar, GNSS and IMU; evaluation draws on datasets, rosbags, simulation and HILS, followed by vehicle integration, field trials and log-based refinement. Required are C++ software design and implementation, Linux development, and Git-based team development, debugging and code review. Applicants must bring expertise or implementation experience in at least one of perception, localization, calibration, planning, control, autonomous-driving integration or simulation, and independently investigate, implement and evaluate incompletely defined technical problems. A working system built and improved in research, personal projects, OSS or robotics competitions can demonstrate this; years alone are not decisive.
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