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