Staff Software Engineer, Localization

Who We AreAeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.We are looking for a Staff Software Engineer to join the Localization team and own significant parts of our localization, mapping, and calibration stack as we scale autonomous ground operations across major airports. Youll take deep ownership of specific workstreams, contribute to the teams technical direction, and partner across the perception, planning, and platform interfaces to help drive the autonomous system from supervised operation to driverless. Youll work alongside the teams senior localization engineers.You WillTake ownership of one or more core areas of the localization stack (LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration) and drive it to production reliability on real hardware at active airportsContribute across the broader localization and mapping pipeline from sensor integration, performance tuning, regression testing, and deployment to new operating environmentsHelp design and build online validation that monitors localization integrity and cross-sensor consistency during live missions, detects drift, and integrates with the vehicles safety architectureDevelop tooling for diagnostics, health logging, and post-mission analysis across the stackContribute to the regression, validation, and release-gating approach for localization changes deployed to active airportsDeploy, test, and iterate using data from real autonomous operationsYou Have8+ years in robotics or autonomous vehicles, with a track record of owning localization or state-estimation systems through production deployment on real hardwareDeep practical grounding in multi-sensor fusion and state estimation across LiDAR, IMU, GNSS, and camerasDemonstrated technical leadership - driving architecture across teams, setting direction, and being the person others escalate to on hard estimation problemsStrong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF), with the judgment to know when each appliesStrong modern C++ (C++17+) and deep working experience with Linux and ROS/ROS2Understanding of how calibration quality propagates through localization and perception, and how localization errors propagate into the safety caseBS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related fieldWe PreferMS or PhD with a focus on localization, state estimation, or calibrationHands-on experience with multi-sensor calibration - intrinsic, extrinsic, and temporalExperience with factor graphs, graph-based SLAM, or open-source tools like GLIM, LIO-SAM, Cartographer, Kalibr, Ceres, GTSAMExperience building online/runtime monitoring and defining safety-relevant thresholds within a safety monitoring architectureTrack record of taking an autonomous system 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, setting direction, and being the person others escalate to on hard estimation problems
• Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF), with the judgment to know when each applies
• Strong modern C++ (C++17+) and deep working experience with Linux and ROS/ROS2
• Understanding of how calibration quality propagates through localization and perception, and how localization errors propagate into the safety case
• BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field

We Prefer

• MS or PhD with a focus on localization, state estimation, or calibration
• Hands-on experience with multi-sensor calibration - intrinsic, extrinsic, and temporal
• Experience with factor graphs, graph-based SLAM, or open-source tools like 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

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.