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

EagleBurgmann; Wolfratshausen; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Cafeteria on-site food

Diversity & Inclusion

Company Pension

Employee discounts

Sustainability & Social Commitment

Zusammenfassung

EagleBurgmann Germany GmbH & Co. KG. is seeking a Scientific Innovator to advance AI-driven engineering solutions across design automation, simulation and sensor-based optimization. You will build prototypes, refine models and contribute to scalable AI applications in R&D.

The role involves collaboration with international teams (DE/USA), transfer to Wolfratshausen after a three-year program, and a hybrid work setup in Germany.

Qualifikationen

• 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: 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 (LangChain) is a plus.
• Ability to communicate complex topics clearly in English and German; collaborative working style.

Aufgaben

• Scout emerging technologies in AI, design automation, mechanical engineering, and simulation.
• Develop prototypes and PoCs (neural networks, surrogate models, agentic workflows, LLM‑based engineering assistants).
• Develop AI-driven models for condition monitoring, predictive maintenance, and lifecycle optimization by integrating sensor data, simulation results, and engineering 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 Wolfratshausen location focusing on AI-driven engineering solutions.

Kenntnisse

Neural networks

GenAI & LLMs

Agentic systems

Surrogate models

Data analytics

FEM/CFD simulation

MLOps

Python

PyTorch

TensorFlow

LangChain

Ausbildung

Master’s or PhD in engineering/computational sciences

Tools

PyTorch

TensorFlow

LangChain

Python

Jobbeschreibung

Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier and more comfortable, but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments.

EagleBurgmann is a leading international specialist in industrial sealing technology. We combine innovative technologies, digital solutions and our passion to create sophisticated and reliable sealing systems. Our products help make entire industries safer and more sustainable.

Some of your Benefits

• Cafeteria/ Canteen: We offer fresh food on-site, both hot and cold.
• Diversity & Inclusion: We focus on providing an inclusive environment and recognize our diversity contributes to our success.
• Company Pension: Save for retirement with the company's help.
• Employee discounts: Opportunities for deals on products and services.
• Sustainability & Social Commitment: We support social and sustainable projects and encourage employee involvement.

Wolfratshausen

Hybrid Work

EagleBurgmann Germany GmbH & Co. KG

You support our team as

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

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.