Who We Are
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for a Senior Software Engineer to join the Localization team and take ownership of our calibration systems — from robustifying and stabilizing the existing offline calibration stack, through adapting it for new sensors and environments, to building online calibration validation for continuous autonomous operations at major airports. Beyond calibration, you will contribute to the broader localization, mapping, and sensor integration efforts as the team scales. You will work under the supervision of a Staff Localization Engineer and collaborate closely with the Perception, Planning, and Infrastructure teams.
You Will
Own the calibration stack end-to-end — improve reliability of existing offline calibrations, close coverage gaps across the sensor suite (LiDAR, IMU, GNSS, cameras, radar), and ensure every calibration is repeatable, traceable, and has clear pass/fail criteria
Design and build an online calibration validation system that monitors cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture
Contribute to the localization and mapping pipeline — sensor integration, performance tuning, regression testing, and deployment to new operating environments
Develop tooling for calibration health logging, diagnostics, and post-mission analysis
Deploy, test, and iterate using data from real autonomous operations at active airports
You Have
5+ years of experience in robotics or autonomous vehicles with hands-on work in sensor calibration, localization, or state estimation
Strong practical knowledge of multi-sensor calibration - intrinsic, extrinsic, and temporal - across LiDARs, IMUs, GNSS, and cameras
Proven experience with non-linear optimization frameworks (Ceres, GTSAM, g2o) or filtering approaches (EKF, UKF)
Strong C++ skills (C++17+) and 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/Mechanical Engineering, or related field
We Prefer
MS or PhD with a focus on calibration, localization, or state estimation
Experience building online/runtime calibration monitoring for deployed autonomous systems
Experience with factor graphs, graph-based SLAM, or open-source tools like Kalibr, LIO-SAM, GLIM, Ceres, GTSAM
Track record of deploying calibration or localization systems on real hardware in production environments
Experience defining safety-relevant thresholds and working with safety monitoring architectures
Familiarity with OpenCV, PCL, or Open3D