Scientific Innovator – AI-Driven Engineering (f/m/d)

Freudenberg Group

Germany (OH)

On-site

USD 102,423 - 147,945

Full time

14 days+

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Job summary

The Freudenberg Group in Wolfratshausen, Germany, invites applications for a Scientific Innovator – AI-Driven Engineering (f/m/d). You will scout AI technologies, design automation and simulation, and develop prototypes and PoCs, including neural networks and surrogate models, to support digital twin and predictive maintenance.

You will work with global teams, transfer research into scalable engineering solutions, and contribute to knowledge sharing.

Qualifications

  • Master’s degree or PhD in engineering, computational sciences, physics, materials, or related fields.
  • Experience in applied research or industrial development.
  • Strong programming skills in Python; experience with PyTorch or TensorFlow; familiarity with GenAI tooling is a plus.

Responsibilities

  • Scout emerging technologies in AI, design automation, mechanical engineering, and simulation.
  • Develop prototypes and PoCs (e.g. neural networks, surrogate models, agentic workflows).
  • Develop AI-driven models for condition monitoring, predictive maintenance, and lifecycle optimization by integrating sensor data and simulation results.

Skills

Neural networks
GenAI/LLMs & agentic systems
Data analytics
Simulation (FEM/CFD)
MLOps
Python programming
PyTorch
TensorFlow
LangChain

Education

Master’s degree
PhD in engineering or related fields

Tools

PyTorch
TensorFlow
LangChain

Job description

## Scientific Innovator – AI-Driven Engineering (f/m/d)Applylocations: Wolfratshausentime type: Full timeposted on: Posted Todayjob requisition id: R\_00100079**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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