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AeroVect is a Series A autonomous ground handling company transforming airport operations for major airlines and ground service providers worldwide. We are seeking a Staff Software Engineer to join the Localization team and own significant portions of our localization, mapping, and calibration stack as we scale autonomous operations across major airports.
In this role, you will take deep ownership of core areas of the localization stack—including LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration—and drive these systems to production reliability on real hardware at active airports. You'll contribute across the broader localization and mapping pipeline, from sensor integration and performance tuning to regression testing and deployment in new operating environments.
Key responsibilities include:
- Owning one or more core localization stack areas and driving them to production reliability on real hardware
- Contributing across sensor integration, performance tuning, regression testing, and deployment to new environments
- Designing and building online validation systems that monitor localization integrity, detect drift, and integrate with the vehicle's safety architecture
- Developing diagnostics, health logging, and post-mission analysis tooling
- Contributing to regression, validation, and release-gating approaches for localization changes at active airports
- Deploying, testing, and iterating using real autonomous operations data
You will work alongside senior localization engineers, partner across perception, planning, and platform interfaces, and help drive the autonomous system from supervised operation toward driverless capability.
REQUIREMENTS:
- 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 (LiDAR, IMU, GNSS, cameras)
- Demonstrated technical leadership: driving architecture across teams, setting direction, and being the escalation point for hard estimation problems
- Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF), with judgment on 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 related field
PREFERRED:
- MS or PhD with 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 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
