Working student computer vision and robotics

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Apply for a job at Mercedes-Benz and find your individual role and workspace to unleash your talents to the fullest. Empowered by visionary colleagues who share the same pioneering spirit. Joining us means becoming part of a global team that aims to build the most desirable cars in the world. Together for excellence.

Job ID: MER0003TYU The Mercedes-Benz Group AG is one of the most successful automotive companies in the world. Together with Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans. In our Logistics Engineering Technologies & Advanced Logistics team, we work at ARENA2036, a research association on the campus of the University of Stuttgart, on pioneering robotics solutions for intralogistics. As part of the RoX research project, we are working with partners from assembly and research to develop a flexible bin picking system for automated pre-picking. We offer you the opportunity to gain hands-on experience with state-of-the-art robotics hardware in a collegial team with flexible working hours and to gain deep insights into an innovative research project leading partners from industry and research. You will master these tasks: Development and integration of AI-based grasp generation methods for our bin picking system Collaboration on scientific publications in the field of intelligent perception for robotics systems The position can be filled starting in November 2025.

Degree program in computer science, electromobility, or a comparable degree program Professional spoken and written English skills Strong experience in robotic bin-picking, grasp planning and manipulation strategies for robotic applications Hands-on expertise in 3D point cloud processing, computer vision and robotics systems Proficiency in Python and commonly used libraries search as Open3D, NumPy, PyTorch and OpenCV Experience in designing and integrating end-to-end computer vision pipeline including object detection, 6D pose estimation, grasp perception, grasp selection and planning Familiarity with Docker for containerized development and deployment Understanding of robot kinematics, camera calibration and coordinate transformations Experience working with depth cameras (e.g., Zivid, RealSense, Azure Kinect) and industrial robotic arms Knowledge of Linux-based development environments and Git version control Ability to collaborate in cross- robotics teams and contribute to systemfunctional level integration Commitment and ability to work in a team Analytical thinking and strategic approach to work

Additional information: We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Please remember to mark your documents as ''relevant for this application' in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here. Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (SBV-Sindelfingen@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm).

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