Multi-Sensor SLAM Fusion Navigation R&D Engineer

Beschreibung

Job Zusammenfassung In diesem Job entwickelst du moderne SLAM-Algorithmen, integrierst diese mit GNSS/INS und implementierst Echtzeitanwendungen in C++. Du analysierst Daten in Matlab oder Python und arbeitest an Fortschritten in der Positionsgenauigkeit. Job Zusammenfassung In diesem Job entwickelst du moderne SLAM-Algorithmen, integrierst diese mit GNSS/INS und implementierst Echtzeitanwendungen in C++. Du analysierst Daten in Matlab oder Python und arbeitest an Fortschritten in der Positionsgenauigkeit. Deine Rolle im Team Join Trimble's innovative multi-sensor team at our office in Höhenkirchen-Siegertsbrunn as a Multi-Sensor SLAM Fusion Navigation R&D Engineer. Bring your ambition and dedication to advance real-time Aided Inertial Navigation Systems (AINS) technology by fusing it with SLAM based on Lidar and camera sensors. Your effort will focus on enhancing Trimble's precise GNSS positioning solutions by integrating advanced multi-sensor technology into the ProPoint engine. This role offers an exciting opportunity to contribute to both existing products and the development of next-generation solutions targeting a broad range of applications and use cases. In this research-focused role, you will develop state-of-the-art multi-modal Simultaneous Localization and Mapping (SLAM) algorithms based on Lidar and camera sensors and integrate them with GNSS/INS to achieve a fully consistent enhanced positioning solution. Design and develop state-of-the-art multi-modal Simultaneous Localization and Mapping (SLAM) algorithms based on LiDar and camera sensors. Integrate SLAM with precise GNSS and other sensors in an AINS to improve positioning accuracy and reliability. Implement real-time algorithms in C++, test and verify. Utilize Matlab and/or Python for data analysis, visualization, and algorithm development. Collaborate with stakeholders, define requirements, document problems, and communicate progress. Contribute to IP protection efforts by documenting innovations and participating in patent filings. Unsere Erwartungen an dich Ausbildung Master's degree in Navigation, Aerospace, Robotics, Geodesy, or related engineering disciplines. Qualifikationen Proven track record in developing and deploying Simultaneous Localization and Mapping (SLAM) algorithms. Strong analytical, problem-solving, and mathematical skills. Proficiency in C++ programming, software development and version control. Excellent communication skills and ability to discuss complex technical topics in English. Ability to work effectively as part of a development team with minimal supervision in a fast-paced development environment with changing priorities. Background in any of the following: Inertial sensing, AINS, Visual (-Inertial) Odometry, Lidar (-Inertial Odometry), sensor fusion, precise GNSS, real-time algorithms, and embedded systems is preferred. Familiarity with Jira or similar issue-tracking software is preferred. Erfahrung Experience with processing visual sensor data from LiDAR and cameras. Experience in Matlab, Python or a comparable language. Hands-on experience with optical sensors (specifications, calibration, prototyping) is preferred. Experience with quality assurance and navigation system field applications is preferred. Themen mit denen du dich im Job beschäftigst AI Robotics Autonomous Driving Metadaten Level: Erfahren Job Feld: Application, Embedded Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Etablierte Firma Branche: Industrie, Produktion Ort: Höhenkirchen-Siegertsbrunn | 85635 | Deutschland

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