Senior Software Engineer, Localization (Calibration)

Senior Software Engineer

We are seeking a Senior Software Engineer to join our Localization team. The ideal candidate will have 5+ years of experience in robotics or autonomous vehicles with hands-on work in sensor calibration, localization, or state estimation. Strong practical knowledge of multi-sensor calibration, including intrinsic, extrinsic, and temporal aspects, across LiDARs, IMUs, GNSS, and cameras is required. Proven experience with non-linear optimization frameworks such as Ceres, GTSAM, or g2o, and strong C++ skills (C++17+) are essential. Experience with Linux and ROS/ROS2 is also necessary.

• Own the calibration stack end-to-end — improve reliability of existing offline calibrations, close coverage gaps across the sensor suite, and ensure every calibration is repeatable, traceable, and has clear pass/fail criteria
• Design and build an online calibration validation system that monitors cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture
• Contribute to the localization and mapping pipeline — sensor integration, performance tuning, regression testing, and deployment to new operating environments
• Develop tooling for calibration health logging, diagnostics, and post-mission analysis
• Deploy, test, and iterate using data from real autonomous operations at active airports

You will work under the supervision of a Staff Localization Engineer and collaborate closely with the Perception, Planning, and Infrastructure teams. You will be responsible for improving the reliability of the existing offline calibration stack, adapting it for new sensors and environments, and building online calibration validation for continuous autonomous operations at major airports. Beyond calibration, you will contribute to the broader localization, mapping, and sensor integration efforts as the team scales.

Requirements:

• 5+ years of experience in robotics or autonomous vehicles with hands-on work in sensor calibration, localization, or state estimation
• Strong practical knowledge of multi-sensor calibration - intrinsic, extrinsic, and temporal - across LiDARs, IMUs, GNSS, and cameras
• Proven experience with non-linear optimization frameworks (Ceres, GTSAM, g2o) or filtering approaches (EKF, UKF)
• Strong C++ skills (C++17+) and working experience with Linux and ROS/ROS2
• Understanding of how calibration quality propagates through localization and perception
• Bachelor's or Master's degree in Computer Science, Robotics, Electrical/Mechanical Engineering, or related field

Prior experience with:

• MS or PhD with a focus on calibration, localization, or state estimation
• Experience building online/runtime calibration monitoring for deployed autonomous systems
• Experience with factor graphs, graph-based SLAM, or open-source tools like Kalibr, LIO-SAM, GLIM, Ceres, GTSAM
• Track record of deploying calibration or localization systems on real hardware in production environments
• Experience defining safety-relevant thresholds and working with safety monitoring architectures
• Familiarity with OpenCV, PCL, or Open3D