Working Student for Efficient Sensor Data Processing starting April 2025

Life is always about becoming... Becoming means going on a journey to be the best version of our future selves. While we discover new things, we will face challenges, master them and grow beyond our individual limits.

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: MER0003KIP In the “Innovations & Future Technologies” area, our “Future Software & AI” department develops innovative, forward-looking concepts and products for the future of Mercedes-Benz. With user experience, software architecture and AI, the portfolio covers key features of our vehicles and the associated ecosystem. The close cooperation across team boundaries us to realize synergies in the development of an intelligent and inspiring user experience in the vehicle and ecosystem in an ideal way. Modern software and AI technologies fit in seamlessly here. The AI Research Team conducts research in areas such as neuromorphic computing, machine learning, geneAI and quantum AI. We work intensively on investigating new methods of artificial intelligence and developing them further to make them usable for our company together with our colleagues from the specialist departments. We strive to push the boundaries of artificial intelligence and create customized, innovative solutions for our customers. As part of our team, you can play an active role in shaping the future of technology. Project Overview: We are seeking a highly motivated and talented individual to join us as a Working Student to evaluate novel sensor data processing pipelines. Novel models will be developed and benchmarked to assess power consumption and computational efficiency. These challenges await you: Evaluate novel sensor data processing pipeline Developed novel Benchmark models to assess power consumption and computational efficiency

Educational Background: Bachelor's degree in mathematics, theoretical or cognitive neuroscience, computer science, physics, robotics, or a related field. Technical skills: Must have Strong background in machine learning, statistics Programming skills, preferably in Python Nice to have Experience with deep learning, in particular vision-related architectures Experience with multi-modal sensor data (e.g., camera, LIDAR, radar) Previous research experience in autonomous driving, robotics, or related field Soft skills: Very good English skills (both verbal and written) Additional information: It doesn't work without completely formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship and the standard period of study (max. 5 MB) and mark your application documents as ''relevant for this application' in the online form. Please find the criteria of employment ''here'. Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit. We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: SBV-Sindelfingen@mercedes-benz.com. Please understand that we no longer accept paper applications and that there is no right to get your documents. If you have any questions regarding the application process, please contact HR Services by e-mail at myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10 a.m. to 12 a.m. and 1 p.m. to 3 p.m.).

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