1 month ago
Responsibilities
- Own one or more core localization areas, including LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration.
- Contribute to sensor integration, performance tuning, regression testing, and deployment of localization and mapping systems to new operating environments.
- Design and build online validation for localization integrity, cross-sensor consistency, drift detection, and integration with vehicle safety architecture.
- Develop diagnostics, health logging, and post-mission analysis tooling across the localization stack.
- Drive regression, validation, and release-gating approaches for localization changes deployed to active airports.
- Deploy, test, and iterate localization systems using data from real autonomous operations.
- Provide technical leadership, architectural direction, and cross-team collaboration across perception, planning, and platform interfaces.
Requirements
- 8+ years of experience in robotics or autonomous vehicles, including ownership of localization or state-estimation systems through production deployment on real hardware.
- Deep practical knowledge of multi-sensor fusion and state estimation using LiDAR, IMU, GNSS, and cameras.
- Demonstrated technical leadership in architecture, direction-setting, and solving complex estimation problems.
- Strong command of non-linear optimization with Ceres, GTSAM, or g2o and/or filtering with EKF or UKF.
- Strong modern C++ knowledge, including C++17+, and deep working experience with Linux and ROS/ROS2.
- Understanding of calibration-quality effects on localization and perception and localization-error effects on the safety case.
- BS or MS in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related field.
- Preferred: MS or PhD focused on localization, state estimation, or calibration.
- Preferred: hands-on multi-sensor intrinsic, extrinsic, and temporal calibration experience.
- Preferred: experience with factor graphs, graph-based SLAM, GLIM, LIO-SAM, Cartographer, or Kalibr.
- Preferred: experience building runtime monitoring and defining safety-relevant thresholds within a safety monitoring architecture.
- Preferred: track record of advancing autonomous systems toward driverless operation.
About AeroVect
AeroVect builds autonomous driving systems and software to automate airport ground service equipment, improving ramp logistics for airlines, airports, and ground handling providers. It deploys and supports autonomy for fleets used by major carriers and ground service companies. Founded in 2020 and headquartered in South San Francisco, it is a privately held Series A company.