Scientific Innovator – AI-Driven Engineering (f/m/d)
Confirmed live in the last 24 hours
Freudenberg Group
Job Description
Working at Freudenberg: We will wow your world!
Responsibilities:
- Scout emerging technologies in AI, design automation, mechanical engineering, and simulation
- Develop prototypes and PoCs (e.g. neural networks, surrogate models, agentic workflows, LLM‑based engineering assistants)
- Develop AI‑driven (digital twin / hybrid) models for condition monitoring, predictive maintenance, and lifecycle optimization by integrating sensor data, simulation results, and engineering domain knowledge
- Conduct applied research: formulate hypotheses, train models, validate results, and analyze data.
- Transfer research into robust, scalable solutions for engineering and operations
- Collaborate closely with engineering and product development teams in DE/USA
- Document results and contribute to internal knowledge sharing
- After a three-year program in Weinheim, transfer to our Wolfratshausen location – with a focus on the application and scaling of AI-supported engineering solutions in the area of R&D
Qualifications:
Master’s degree or PhD in engineering, computational sciences, physics, materials, or related fields
Experience in applied research or industrial development
Skills in at least two areas: neural networks, GenAI/LLMs & agentic systems, surrogate models, data analytics, simulation (FEM/CFD), MLOps or platform development
Strong programming skills (Python)
Experience with PyTorch or TensorFlow; familiarity with GenAI tooling (e.g., LangChain) is a plus
Ability to communicate complex topics clearly in English/German; collaborative working style
The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.
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