Staff Software Engineer, Localization

AeroVect Technologies Inc.; Paris; Sur place; EUR 110 000 - 170 000; Plein temps

Résumé du poste

AeroVect Technologies Inc. in Paris is seeking a Staff Software Engineer to own core areas of the localization stack and drive production-ready localization across real hardware at active airports.

You will own LiDAR-inertial-GNSS state estimation, 3D mapping, and sensor calibration, and collaborate with perception, planning, and platform teams to scale autonomous ground operations. The role demands 8+ years in robotics, deep multi-sensor fusion expertise, and a track record of leading

Qualifications

• 8+ years experience in robotics or autonomous vehicles with ownership of localization or state-estimation systems in production on real hardware.
• Deep practical grounding in multi-sensor fusion and state estimation across LiDAR, IMU, GNSS, and cameras.
• Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF).
• Solid C++17+ and Linux/ROS/ROS2 experience.
• BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or related field.

Responsabilités

• Take ownership of core areas of the localization stack and drive them to production reliability on real hardware at active airports.
• Contribute across the localization and mapping pipeline from sensor integration, regression testing, and deployment to new environments.
• Help design online validation monitoring localization integrity and cross-sensor consistency during live missions and integrate with safety architecture.
• Develop tooling for diagnostics, health logging, and post-mission analysis across the stack.
• Contribute to release-gating approaches for localization changes deployed at airports.
• Deploy, test, and iterate using data from real autonomous operations.

Connaissances

State estimation

Multi-sensor fusion

Technical leadership

C++17+

Linux

ROS/ROS2

Ceres/GTSAM

LIO-SAM

Cartographer

Kalibr

Formation

BS/MS in CS/Robotics/Engineering

Outils

GLIM

LIO-SAM

Cartographer

Kalibr

GTSAM

Ceres

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.

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

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 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, Kalibr, Ceres, GTSAM
• Experience building online/runtime monitoring and defining safety-relevant thresholds within a safety monitoring architecture
• Track record of taking an autonomous system toward driverless operation