Responsibilities
Design and deploy large-scale georeferenced mapping systems for autonomous heavy machinery operating in continuously evolving construction environments.
Develop global dynamic mapping pipelines that maintain accurate, up-to-date site representations across evolving terrain, active construction operations, and machine activity.
Define performance metrics, validation methodologies, and benchmarking frameworks for map quality, localization accuracy, robustness, and runtime performance.
Develop scalable multi-sensor fusion and SLAM algorithms that enable robust mapping, localization, state estimation, and calibration in challenging outdoor environments with degraded or intermittent GNSS.
Collaborate closely with multidisciplinary experts to improve the reliability, scalability, and field performance of the overall system.
Ensure production-quality implementation, documentation, and timely execution in a fast-paced, deployment-driven environment.
Requirements
Master’s or PhD in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, Geomatics, or a related field.
3+ years of experience developing mapping, SLAM, localization, or state estimation systems for real-world robotic platforms.
Strong understanding of coordinate frames, calibration, sensor synchronization, uncertainty modeling, and real-time robotics systems.
Experience building multi-sensor mapping pipelines using GNSS, LiDAR, cameras, IMUs, and other sensor data.
Strong experience with mapping and SLAM algorithms such as LiDAR-inertial odometry, pose graph optimization, loop closure, scan matching, map alignment, and georeferencing.
Experience writing production-quality C++ and/or Python code in a Linux development environment.
Experience evaluating mapping and localization performance using clear metrics, datasets, field-testing procedures, and benchmarking frameworks.
#J-18808-Ljbffr
Design and deploy large-scale georeferenced mapping systems for autonomous heavy machinery operating in continuously evolving construction environments.
Develop global dynamic mapping pipelines that maintain accurate, up-to-date site representations across evolving terrain, active construction operations, and machine activity.
Define performance metrics, validation methodologies, and benchmarking frameworks for map quality, localization accuracy, robustness, and runtime performance.
Develop scalable multi-sensor fusion and SLAM algorithms that enable robust mapping, localization, state estimation, and calibration in challenging outdoor environments with degraded or intermittent GNSS.
Collaborate closely with multidisciplinary experts to improve the reliability, scalability, and field performance of the overall system.
Ensure production-quality implementation, documentation, and timely execution in a fast-paced, deployment-driven environment.
Requirements
Master’s or PhD in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, Geomatics, or a related field.
3+ years of experience developing mapping, SLAM, localization, or state estimation systems for real-world robotic platforms.
Strong understanding of coordinate frames, calibration, sensor synchronization, uncertainty modeling, and real-time robotics systems.
Experience building multi-sensor mapping pipelines using GNSS, LiDAR, cameras, IMUs, and other sensor data.
Strong experience with mapping and SLAM algorithms such as LiDAR-inertial odometry, pose graph optimization, loop closure, scan matching, map alignment, and georeferencing.
Experience writing production-quality C++ and/or Python code in a Linux development environment.
Experience evaluating mapping and localization performance using clear metrics, datasets, field-testing procedures, and benchmarking frameworks.
#J-18808-Ljbffr
Global Mapping Engineer – SLAM Arbeitgeber: Jobtailor
Als Global Director B2B – Business Development bei uns profitieren Sie von einer dynamischen und innovativen Arbeitsumgebung, die auf Zusammenarbeit und Kreativität setzt. Wir bieten Ihnen nicht nur attraktive Vergütungsmodelle und umfassende Weiterbildungsmöglichkeiten, sondern auch die Chance, in einem internationalen Team zu arbeiten, das Vielfalt und persönliche Entwicklung fördert. Unsere Unternehmenskultur legt großen Wert auf Flexibilität und Work-Life-Balance, sodass Sie Ihre Karriereziele in einem unterstützenden Umfeld erreichen können.
