[Remote] Staff Software Engineer, Localization
Note: The job is a remote job and is open to candidates in USA. AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. They are seeking a Staff Software Engineer to join the Localization team, taking ownership of significant parts of their localization, mapping, and calibration stack to scale autonomous ground operations across major airports.
Responsibilities
- Take 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 airports
- Contribute across the broader localization and mapping pipeline from sensor integration, performance tuning, regression testing, and deployment to new operating environments
- Help design and build online validation that monitors localization integrity and cross-sensor consistency during live missions, detects drift, and integrates 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
Skills
- 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
- 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
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