Staff Software Engineer, Localization

AeroVect; Paris; Sur place; EUR 110 000 - 150 000; Plein temps

Résumé du poste

AeroVect is seeking a Staff Software Engineer to own core localization components and drive them to production readiness across airport operations. You will lead multi-sensor fusion, state estimation, and calibration efforts, influencing architecture across perception, planning, and platform interfaces.

You will mentor engineers, design robust validation, and deploy scalable tooling for diagnostics and post-mission analysis in a high-stakes, autonomous flight-support context.

Qualifications

• 8+ years in robotics or autonomous vehicles with production localization ownership.
• Deep grounding in multi-sensor fusion across LiDAR, IMU, GNSS, and cameras.
• Demonstrated technical leadership coordinating architecture across teams.
• Strong command of non-linear optimization (Ceres, GTSAM, g2o) or filtering (EKF, UKF).
• Proficiency in C++17+, Linux and ROS/ROS2.
• BS or MS in CS/Robotics/EE; MS/PhD preferred; hands-on calibration experience.

Responsabilités

• Own core areas of the localization stack and drive production reliability on real hardware at airports.
• Contribute across the broader localization and mapping pipeline from sensor integration to deployment.
• Design online validation to monitor localization integrity and cross-sensor consistency during live missions.
• Develop tooling for diagnostics, health logging, and post-mission analysis across the stack.
• Contribute to regression, validation, and release gating for localization changes at airports.
• Deploy, test, and iterate using data from real autonomous operations.

Connaissances

Localization

State estimation

Multi-sensor fusion

Non-linear optimization

C++17+

ROS/ROS2

Technical leadership

Calibration

Formation

BS in CS/Robotics/EE

MS or PhD preferred

Outils

GLIM

LIO-SAM

Cartographer

Ka

Description du poste

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 Staff Software Engineer to join the Localization team and own significant parts of our localization, mapping, and calibration stack as we scale autonomous ground operations across major airports. You'll take deep ownership of specific workstreams, contribute to the team's technical direction, and partner across the perception, planning, and platform interfaces to help drive the autonomous system from supervised operation to driverless. You'll work alongside the team's senior localization engineers.

Responsibilities

• You Will Take ownership of one or more core areas of the localization stack (LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration) and drive it to production reliability on real hardware at active airports
• Contribute across the broader localization and mapping pipeline from sensor integration, performance tuning, regression testing, and deployment to new operating environments
• Help design and build online validation that monitors localization integrity and cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture
• Develop tooling for diagnostics, health logging, and post-mission analysis across the stack
• Contribute to the regression, validation, and release-gating approach for localization changes deployed to active airports
• Deploy, test, and iterate using data from real autonomous operations

Requirements

• You Have 8+ years in robotics or autonomous vehicles, with a track record of owning localization or state-estimation systems through production deployment on real hardware
• Deep practical grounding in multi-sensor fusion and state estimation across LiDAR, IMU, GNSS, and cameras
• Demonstrated technical leadership - driving architecture across teams, setting direction, and being the person others elevate to on hard estimation problems
• Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF), with the judgment to know when each applies
• Strong modern C++ (C++17+) and deep working experience with Linux and ROS/ROS2
• Understanding of how calibration quality propagates through localization and perception, and how localization errors propagate into the safety case
• BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field
• We Prefer MS or PhD with a focus on localization, state estimation, or calibration
• Hands-on experience with multi-sensor calibration - intrinsic, extrinsic, and temporal
• Experience with factor graphs, graph-based SLAM, or open-source tools like GLIM, LIO-SAM, Cartographer, Ka