Robotics and SLAM Expert for Outdoor Autonomous Navigation Stabilization with ROS2 We are seeking a professional with proven experience in mobile robotics and outdoor autonomous navigation to collaborate on stabilizing the mapping, localization, and self-driving capabilities of a 4-wheeled ground robot using ROS2. The system currently functions correctly indoors but experiences mapping and relocation issues outdoors, so the focus of this role will be to address these limitations. Key experience is essential and includes real-world experience with mobile robotics (physical robots, not just simulations) and proficiency with ROS2 (Humble or similar). Practical experience with SLAM in outdoor environments, robust localization under varying conditions, and autonomous navigation in unstructured scenarios is required. A thorough understanding of RTAB-Map (mandatory) and/or other SLAM systems, Nav2 (planning, control, and cost maps), and SLAM troubleshooting (drift, loss of location, inconsistent maps) is fundamental. Strong analytical and advanced debugging skills are also required. We are looking for professionals who have already solved real-world problems with autonomous navigation in outdoor environments, such as with ground robots (UGVs, outdoor AGVs), agricultural or inspection robots, or mobile platforms in open fields where localization is critical. We are not looking for degrees, but rather demonstrable experience. Expected technologies include ROS2, visual SLAM, LiDAR or multisensor, sensor fusion (EKF/robot_localization), autonomous navigation in outdoor environments, and analysis with RViz, rosbag, and other ROS tools. The primary programming languages are Python and C++.