• Bachelor’s or Master’s degree in Mechanical/Industrial Engineering, Computer Science or similar, ideally with AI focus
• Strong foundational understanding of manufacturing processes, lean principles, and automotive quality standards
• Hands-on programming skills (Python or R) and experience with ML frameworks (TensorFlow, PyTorch, Scikit‑learn)
• Practical experience with AI use cases in manufacturing (e.g., vision systems, predictive maintenance, yield optimization)
• Skills in data engineering: collecting, cleaning, and structuring large datasets from machines and sensors
• Understanding of IIoT architecture and common communication protocols (OPC-UA, MQTT)
• Strong analytical mindset with the ability to validate AI models and translate data into actionable insights
• Ability to work in cross-functional and international teams, bridging manufacturing engineering and data science
• High motivation to explore new technologies and contribute to continuous innovation (Industry 4.0, automation, robotics)
• Professional fluency in English; German skills are a plus
• Willingness to travel internationally as required

• Develop and integrate AI-driven solutions to optimize production throughput, resource utilization, and manufacturing efficiency.
• Implement computer vision systems for automated inspection and defect detection on high‑precision assembly lines
• Design and deploy predictive maintenance models in collaboration with maintenance teams to reduce unplanned downtime
• Analyze large and complex manufacturing datasets to identify patterns, bottlenecks, and opportunities for improvement
• Support configuration and operation of Industrial IoT (IIoT) devices, sensor networks, and real‑time data pipelines
• Create technical documentation, standard procedures, and guidelines for AI-driven processes and workflows
• Identify, evaluate, and benchmark innovative manufacturing technologies (AI, robotics, IIoT, software systems) for future production concepts
• Act as an internal consultant and advisor for advanced digital and AI applications.
• Contribute to global process and technology roadmaps, and support implementation together with operational units
• Manage special projects related to AI, automation, robotics, and advanced manufacturing, including reporting and presentations
• Enable global knowledge sharing and benchmarking within the Advanced Manufacturing community

Joyson Safety Systems is one of the world’s leading manufacturers in automotive safety systems with a turnover of around 5.3 billion euros and more than 30,000 staff globally. At Joyson Safety Systems, we are strongly committed to innovation and progress. As a reliable and competent partner in the automotive industry, we develop and produce automotive safety systems and components that are used in vehicles worldwide. Our product portfolio consists of steering wheels, airbags and inflators, seat belts, plastic technical components, child restraint systems, electronic devices and sensors. We supply our products to nearly all major motor vehicle manufacturers around the world.