Sr. SLAM Engineer

Required

• MS or PhD in Robotics, Computer Science, Electrical Engineering, Computer Vision, or a related field.
• 5+ years of experience in SLAM, localization, mapping, robotics, or autonomous systems.
• Strong software engineering skills in C++ and Python.
• Deep understanding of visual SLAM, LiDAR SLAM, VIO, state estimation, sensor fusion, factor graphs, bundle adjustment, pose graph optimization, loop closure, place recognition, and multi-view geometry.
• Hands-on experience with relevant libraries and frameworks such as GTSAM, Ceres Solver, OpenCV, Eigen, and ROS/ROS2.
• Experience profiling, debugging, validating, and deploying complex robotics algorithms in production-oriented environments.
• Experience building fleet-scale mapping and localization systems for autonomous driving, robotics, mobile mapping, or geospatial applications.
• Experience with multi-session SLAM, multi-route SLAM, collaborative mapping, global pose graph optimization, and large-scale bundle adjustment.
• Experience with HD maps, localization maps, map change detection, map updates, map versioning, and long-term landmark management.
• Experience processing large-scale camera, LiDAR, GNSS, IMU, and vehicle telemetry datasets using distributed infrastructure.
• Experience with production localization integrity, map quality evaluation, calibration monitoring, and system-level performance analysis.
• Publications, patents, or significant technical contributions in SLAM, localization, robotics, computer vision, or mapping systems are a plus.