3 months ago
Responsibilities
- Own one or more core localization areas, including LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration, through production reliability on real hardware.
- Contribute to sensor integration, performance tuning, regression testing, and deployment across new operating environments.
- Design and build online validation for localization integrity and cross-sensor consistency during live missions, including drift detection and safety-architecture integration.
- Develop diagnostics, health logging, and post-mission analysis tooling across the localization stack.
- Contribute to regression, validation, and release-gating practices for localization changes deployed at active airports.
- Deploy, test, and iterate using data from real autonomous operations.
- Drive technical direction and architecture across localization, perception, planning, and platform interfaces.
Requirements
- 8+ years of experience in robotics or autonomous vehicles, including production deployment of localization or state-estimation systems on real hardware.
- Deep practical experience with multi-sensor fusion and state estimation using LiDAR, IMU, GNSS, and cameras.
- Demonstrated technical leadership in architecture, cross-team direction, and solving complex estimation problems.
- Strong command of non-linear optimization using Ceres, GTSAM, or g2o and/or filtering using EKF or UKF.
- Strong modern C++ experience, including C++17 or later, and deep working experience with Linux and ROS/ROS2.
- Understanding of calibration quality, localization and perception error propagation, and safety implications.
- 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: factor graphs, graph-based SLAM, or tools such as GLIM, LIO-SAM, Cartographer, and Kalibr.
- Preferred: online/runtime monitoring, safety-relevant thresholds, and safety monitoring architecture experience.
- Preferred: experience advancing an autonomous system 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.