• 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
• BS or MS in Computer Science, Robotics,Electrical/Mechanical Engineering, or related field
• 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