Own end-to-end calibration stack; improve offline calibration reliability and coverage.
Design online calibration validation; monitor cross-sensor consistency; detect drift; integrate with safety architecture.
Contribute to localization and mapping: sensor integration, tuning, tests, deployment to new environments.
Develop tooling for calibration health logging, diagnostics, and post-mission analysis.
Deploy and test using data from real autonomous ops at active airports.

🎯 Requirements

5+ years in robotics or autonomous vehicles; hands-on in calibration, localization.
Strong multi-sensor calibration across LiDAR, IMU, GNSS, cameras.
Experience with Ceres, GTSAM, g2o or EKF/UKF.
C++17+, Linux, ROS/ROS2 experience.
Understanding calibration impact on localization and perception.
BS or MS in CS, Robotics, EE, or related field.

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