Senior Software Engineer, Localization – Calibration

🕒 April 20

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 65%

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AeroVect

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AeroVect is a technology company that specializes in advanced automation for Ground Support Equipment (GSE) in the aviation industry. The company's flagship product, AeroVect Driver, is a highly scalable, OEM agnostic self-driving system designed to improve safety, productivity, and sustainability in ground handling operations. Trusted by leading airlines and handlers, AeroVect aims to revolutionize airside operations with its premier self-driving technology, built in Silicon Valley for the global aviation market.

📋 Description

• 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

🎯 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 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

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