5 months ago
Responsibilities
- Own the calibration stack end-to-end by improving offline calibration reliability, closing sensor-suite coverage gaps, and ensuring repeatable, traceable calibrations with clear pass/fail criteria.
- Design and build online calibration validation that monitors cross-sensor consistency, detects drift, and integrates with the vehicle safety architecture.
- Contribute to localization and mapping pipelines through sensor integration, performance tuning, regression testing, and deployment to new environments.
- Develop calibration health logging, diagnostic, and post-mission analysis tooling.
- Deploy, test, and iterate systems using data from real autonomous operations at active airports.
- Collaborate with Localization, Perception, Planning, Infrastructure, and safety teams under the supervision of a Staff Localization Engineer.
Requirements
- 5+ years of experience in robotics or autonomous vehicles with hands-on work in sensor calibration, localization, or state estimation.
- Strong practical knowledge of intrinsic, extrinsic, and temporal multi-sensor calibration across LiDARs, IMUs, GNSS, and cameras.
- Experience with non-linear optimization frameworks such as Ceres, GTSAM, and g2o, or filtering approaches such as EKF and UKF.
- Strong C++ skills, including C++17 or later, plus working experience with Linux and ROS/ROS2.
- Understanding of how calibration quality propagates through localization and perception.
- BS or MS in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related field.
- Preferred: MS or PhD focused on calibration, localization, or state estimation.
- Preferred: experience with online or runtime calibration monitoring for deployed autonomous systems.
- Preferred: experience with factor graphs, graph-based SLAM, or tools such as Kalibr, LIO-SAM, GLIM, Ceres, and GTSAM.
- Preferred: production deployment of calibration or localization systems on real hardware.
- Preferred: experience defining safety-relevant thresholds and working with safety monitoring architectures.
- Preferred: familiarity with OpenCV, PCL, or Open3D.
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.