Working at Freudenberg: We will wow your world!
Responsibilities:
1. Develop and industrialize AI‑ and data‑driven methods for automated and intelligent engineering workflows
2. Design and automate mechanical seal systems using parametric 3D CAD models and modular design concepts
3. Analyze existing seal series to identify opportunities for standardization, reuse, and automation
4. Develop prototypes and Proofs of Concept, including AI‑assisted CAD workflows, neural networks, optimization methods, and LLM‑based engineering assistants
5. Enable automated data exchange between engineering systems (e.g. CAD, PDM, ERP)
6. Conduct applied research: define hypotheses, train models, validate results, and transfer outcomes into scalable engineering solutions
7. Collaborate closely with interdisciplinary and international teams and contribute to internal knowledge sharing
Qualifications:
8. Master’s degree or PhD in Mechanical Engineering, Computational Engineering, Computer Science, Mathematics, Physics, or a related field
9. Experience in applied research and/or industrial engineering with a strong focus on automation or digitalization
10. Strong expertise in mechanical design and 3D CAD, preferably Solid Edge or comparable systems
11. Solid programming skills in Python and experience developing data‑driven or AI‑based solutions
12. Practical experience in at least two of the following areas: neural networks, generative AI / LLMs and agentic systems, data analytics, MLOps, or platform development
13. Hands‑on experience with machine learning frameworks such as PyTorch or TensorFlow
14. Ability to work effectively across engineering, IT, and data science domains
15. Strong communication skills in English and German and willingness to collaborate in international teams
16. Willingness to travel during the first two years regularly to Freudenberg Technology Innovation (FTI) in Weinheim, Germany and a short-term assignment to USA (approximately 8 months)