AI Expert - Advanced Driving System

• Innovation Leadership: Champion the discovery and implementation of novel AI methodologies to enhance the security and efficacy of automated driving functions.
• Architectural Strategy: Conceptualize and build robust technical frameworks capable of navigating a wide array of situational and environmental conditions (Operating Design Domains).
• Industry Influence: Shape the future of applied artificial intelligence within the robotics and automotive sectors, maintaining a position at the forefront of global technological trends.
• Strategic Design: Address the complex hurdles of real-world deployment by creating versatile architectures that remain effective across diverse geographical and operational settings.

• Master's degree or Doctorate in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative discipline.
• A minimum of five years in the automated driving (ADAS/ADS) industry.
• A proven track record of successfully launching autonomous products into real-world markets.
• Deep technical mastery of modern AI paradigms, including reinforcement learning (RL), world modeling, Vision-Language-Action (VLA) structures, and comprehensive end-to-end neural networks.
• Previous work focused on the safety-critical aspects of advanced mobility systems.
• A history of contributing to major international academic forums (such as CVPR) is considered a significant advantage.
• An energetic and inspiring leadership style with the ability to motivate interdisciplinary teams.
• Full professional command of the English language; additional proficiency in German or Chinese is highly desirable.
• Availability for international business travel (approximately one-quarter of the time).

You will be joining an established automotive engineering team within a world-leading technology company at their lab Munich. We are looking for a technical leader to pioneer AI-driven breakthroughs in the field of automated transportation. This role is focused on advancing the safety and intelligence of driving systems across the full spectrum of autonomy (from driver assistance to high-level automation). The ideal candidate will be a catalyst for innovation, pushing the boundaries of what is possible in robotics and machine intelligence to define the next generation of vehicular travel.