Staff Software Engineer (Robotics)

Location: Toronto, ON, Canada; Poland; South San Francisco, CA, USA; Paris; London, UK; New York, NY, USA; Atlanta, GA, USA; Remote

Company

Develop autonomous ground-handling systems that help airlines and ground service providers operate vehicles at major airports.

What you will do

• Own core areas of the localization stack, including LiDAR-inertial-GNSS state estimation, 3D mapping, map maintenance, or sensor calibration.
• Drive localization and mapping systems to production reliability on real hardware operating at active airports.
• Improve sensor integration, performance, regression testing, deployment, and adaptation to new operating environments.
• Design online validation for localization integrity and cross-sensor consistency, including drift detection and safety-architecture integration.
• Build diagnostics, health logging, post-mission analysis, and release-gating tools.
• Deploy, test, and iterate using data from real autonomous operations.

Requirements

• 8+ years of experience in robotics or autonomous vehicles, including production deployment of localization or state-estimation systems on real hardware.
• Deep practical knowledge of multi-sensor fusion and state estimation using LiDAR, IMU, GNSS, and cameras.
• Technical leadership experience driving architecture across teams and resolving complex estimation problems.
• Strong knowledge of non-linear optimization with Ceres, GTSAM, or g2o and/or filtering with EKF or UKF.
• Strong modern C++17+ skills and deep working experience with Linux and ROS/ROS2.
• BS or MS in Computer Science, Robotics, Electrical or Mechanical Engineering, or a related field.

Nice to have

• MS or PhD focused on localization, state estimation, or calibration.
• Hands-on experience with intrinsic, extrinsic, and temporal multi-sensor calibration.
• Experience with factor graphs, graph-based SLAM, GLIM, LIO-SAM, Cartographer, Kalibr, Ceres, or GTSAM.
• Experience building runtime monitoring and defining safety-relevant thresholds.
• Experience taking an autonomous system toward driverless operation.