AI-driven Systems Engineer | AI-driven Systems Engineer (all genders)
Fraunhofer-Gesellschaft e.V. Zentrale München
Job Summary
Join a leading applied research organization, Fraunhofer Society, at the Institute for Mechatronics Design IEM in Paderborn. This role focuses on developing and evaluating AI-driven methods, prototypes, and demonstrators for Systems Engineering and Model-Based Systems Engineering (MBSE). You will integrate new AI functionalities into existing tool landscapes and engineering processes, assessing their value in real-world applications. Collaborating with interdisciplinary teams, industry partners, and public clients, you will prepare and present results effectively. The position offers the opportunity to publish findings, contribute to workshops, and advance the field of Advanced Systems Engineering, making it an attractive opportunity for those passionate about shaping the future of engineering with AI.
Required Skills
Education
University degree in Computer Science, Systems Engineering, Mechatronics, Mechanical Engineering, Industrial Engineering, or a comparable technical field.
Experience
- First experience or profound know-how in AI/ML, Generative AI, NLP, RAG or Agent Systems
- First experience or profound know-how in Software Development, Data Processing, or API-based Tool Integration
- Good knowledge in Systems Engineering / MBSE, Requirements Engineering, System Architecture, or related development approaches
- Ability to quickly learn new domains, structure complex issues, and independently develop viable concepts
- Experience in presenting technical content to customers, project partners, and scientific audiences
Languages
Additional
- Full-time position (39 hours/week), possibility of part-time. Employment, remuneration, and social benefits based on public sector collective agreement (TVöD). Potential for performance-based variable compensation. Job ticket for public transport. Flexible working hours and potential for home office. Support for work-life balance. Career development support including training and PhD opportunities. Diversity and inclusion are valued; applications from severely disabled individuals are preferred.
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