9 hours ago
Responsibilities
- Own core localization areas such as LiDAR-inertial-GNSS state estimation, 3D mapping, map maintenance, or sensor calibration and bring them to production reliability on real hardware.
- Contribute to sensor integration, performance tuning, regression testing, deployment, and adaptation of the localization and mapping pipeline to new operating environments.
- Design and build online validation that monitors localization integrity and cross-sensor consistency, detects drift, and integrates with the 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 at active airports.
- Deploy, test, and iterate on localization systems using data from real autonomous operations.
- Provide technical leadership by driving architecture across teams and setting direction for difficult estimation problems.
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 experience with multi-sensor fusion and state estimation across LiDAR, IMU, GNSS, and cameras.
- Strong command of nonlinear optimization tools such as Ceres, GTSAM, or g2o and/or filtering methods such as EKF or UKF.
- Strong modern C++ experience, including C++17 or newer, and deep working experience with Linux and ROS/ROS2.
- Understanding of how calibration quality affects localization and perception and how localization errors affect the safety case.
- Bachelor's or master's degree in Computer Science, Robotics, Electrical or Mechanical Engineering, or a related field.
- Preferred qualifications include a master's or PhD focused on localization, state estimation, or calibration; hands-on multisensor calibration experience; factor-graph, graph-based SLAM, or listed open-source localization-tool experience; runtime monitoring and safety-threshold experience; and experience 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.