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# AI Engineer - E2E Advanced Driving

- **Company:** Jet Dela Cruz
- **Location:** Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Program Optimization, Machine Learning, Robotic Automation Software, Build Management, Information Technology
- **Published:** August 22, 2026
- **Apply:** https://eu-recruit.com/jobs/ai-engineer-e2e-advanced-driving-2/#vacancy-apply

## About the Role

* Master's or Doctorate (PhD) in Machine Learning, Computer Science, Robotics, Electrical Engineering, or a related quantitative field.
 * Minimum of three years of hands-on experience specifically focused on end-to-end (E2E) machine learning models.
 * A profound grasp of diverse neural network architectures and their integration with both hardware and software stacks within the context of automated driving.
 * Demonstrated success in utilizing AI to mitigate safety-critical risks or solve reliability issues in complex robotic systems.
 * An energetic, collaborative spirit with the ability to inspire and mentor colleagues.
 * Fluency in English is mandatory; additional proficiency in German or Chinese is highly regarded.
 * Flexibility to travel internationally (approximately 25% of the time) to support global project milestones.

## Description

We are seeking a forward-thinking technologist to pioneer artificial intelligence frameworks that elevate the safety and reliability of next-generation automated vehicle platforms. This position focuses on the research and implementation of holistic "perception-to-action" models, moving beyond modular components to create seamless, intelligent driving experiences., * Frontier Research: Actively investigate and prototype experimental AI methodologies to redefine the benchmarks for security and performance in automated transit.

 * Safety Modeling: Design and build sophisticated algorithms dedicated to real-time risk evaluation, ensuring that autonomous agents can navigate complex environments with high confidence.
 * Model Optimization: Enhance and adapt existing high-performance, end-to-end neural networks to resolve specific safety hurdles and edge-case scenarios inherent in advanced mobility.
 * Strategic Awareness: Maintain a deep understanding of the global AI landscape, including emerging technical standards, legislative requirements, and industrial best practices to ensure technological leadership.


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