Staff Software Engineer, Localization
Aerovect · Remote
About this role
**AeroVect — Staff Software Engineer (Localization)** **About the role** AeroVect is transforming ground handling with autonomy—helping airlines and ground service providers run day-to-day operations more efficiently. We’re 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. You’ll take deep ownership of specific workstreams, contribute to the team’s technical direction, and partner across **perception, planning, and platform interfaces** to help move the autonomous system from **supervised operation to driverless**. --- **What you’ll do** - Take ownership of one or more core areas of the localization stack (e.g., **LiDAR-inertial-GNSS state estimation**, **3D mapping and map maintenance**, or **sensor calibration**) and drive it to **production reliability on real hardware at active airports**. - Contribute across the broader localization and mapping pipeline: **sensor integration, performance tuning, regression testing, and deployment** to new operating environments. - Help design and build **online validation** to monitor localization integrity and cross-sensor consistency during live missions, detect drift, and integrate with the vehicle’s **safety architecture**. - Develop tooling for **diagnostics, health logging, and post-mission analysis** across the stack. - Contribute to the **regression, validation, and release-gating** approach for localization changes deployed to active airports. - Deploy, test, and iterate using data from **real autonomous operations**. --- **What you have** - **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 and being the escalation point on hard estimation problems. - Strong command of **non-linear optimization** (e.g., **Ceres, GTSAM, g2o**) and/or **filtering** (e.g., **EKF, UKF**), with good judgment on when to apply each. - 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. --- **What we prefer** - **MS or PhD** with a focus on localization, state estimation, or calibration. - Hands-on experience with **multi-sensor calibration** (intrinsic, extrinsic, 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**. --- **Company** AeroVect — www.aerovect.com
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