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# AI Expert - Advanced Driving System

- **Company:** Jet Dela Cruz
- **Location:** München, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Machine Learning, Reinforcement Learning, Information Technology
- **Published:** May 13, 2026
- **Apply:** https://eu-recruit.com/jobs/ai-expert-advanced-driving-system/

## About the Role

* 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).

## Description

* 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.


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