Staff Software Engineer, Localization

• Own one or more core areas of the localization stack, including LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration
• Drive localization workstreams to production reliability on real hardware at active airports
• Contribute across sensor integration, performance tuning, regression testing, and deployment to new operating environments
• Design and build online validation monitoring localization integrity and cross-sensor consistency during live missions
• Detect localization drift and integrate validation with the vehicle’s safety architecture
• Develop tooling for diagnostics, health logging, and post-mission analysis
• Contribute to regression, validation, and release-gating approaches for localization changes deployed to active airports
• Deploy, test, and iterate using data from real autonomous operations
• Contribute to the team’s technical direction and partner across perception, planning, and platform interfaces
• Help drive autonomous ground operations from supervised operation toward driverless operation

• 8+ years in robotics or autonomous vehicles, with a track record of owning localization or state-estimation systems through production deployment on real hardware
• Deep practical grounding in multi-sensor fusion and state estimation across LiDAR, IMU, GNSS, and cameras
• Demonstrated technical leadership driving architecture across teams and setting direction
• Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF)
• Strong modern C++ (C++17+) and deep working experience with Linux and ROS/ROS2
• Understanding of calibration quality propagation through localization and perception, and localization errors into the safety case
• BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field
• Hands-on experience with multi-sensor calibration—intrinsic, extrinsic, and temporal
• Experience with factor graphs, graph-based SLAM, or tools such as GLIM, LIO-SAM, Cartographer, Kalibr, Ceres, GTSAM
• Experience building online/runtime monitoring and defining safety-relevant thresholds within a safety monitoring architecture
• Track record of taking an autonomous system toward driverless operation