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Join our forward thinking team at the forefront of integrating quantum technologies, transformer architectures, large language models (LLMs), and high-performance computing (HPC) in the automotive sector. Since 2019, Volkswagen Group Innovation has been the foundation for a global innovation ecosystem focused on sustainable and customer-oriented innovations. Cross-border collaboration and the close integration of locations enable new paths for technology development in the deep-tech sector. Innovation centers in various regions (Europe, Asia, California) pool local knowledge and expertise, providing the optimal infrastructure for our many partners and innovators to derive international solutions from regional challenges and needs.
Job Responsibility:
Analyzing and developing groundbreaking technologies for vehicle optimization, materials science, and energy efficiency in the automotive context
Developing AI and quantum computing concepts, strategies, and their implications for the mobility of the future
Processing and critically examining the obtained insights
Preparing, visualizing, and communicating the results, as well as contributing to the creation of decision-making templates
Collaborating and supporting projects within the department
Requirements:
Students in the fields of Computer Science, Electrical Engineering, Automotive Engineering, Physics, or comparable study programs
Knowledge in quantum computing, large-scale AI models, parallel computing techniques, GPU acceleration, or relevant technical know-how is advantageous
Affinity for strategic issues in the automotive environment as well as openness to interdisciplinary topics
Prior experience in research projects, publications, or contributions to open-source projects is advantageous
Excellent study results, international experience desirable
German and English language level B2
Nice to have:
Prior experience in research projects, publications, or contributions to open-source projects
Knowledge in quantum computing, large-scale AI models, parallel computing techniques, GPU acceleration
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