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Scientific Innovator – AI & CAD Automation(m/w/x)
Developing AI-driven methods and automating mechanical seal systems with AI-assisted CAD prototypes. Applied research and industrial engineering experience with automation focus required. Focus on neural networks, generative AI, and agentic systems.
Requirements
- Master’s or PhD in Mechanical Engineering, Computational Engineering, Computer Science, Mathematics, Physics, or related field
- Applied research and/or industrial engineering experience with focus on automation or digitalization
- Strong mechanical design and 3D CAD expertise, preferably Solid Edge or comparable systems
- Solid programming skills in Python and experience developing data-driven or AI-based solutions
- Practical experience in neural networks, generative AI / LLMs and agentic systems, data analytics, MLOps, or platform development
- Hands-on experience with machine learning frameworks like PyTorch or TensorFlow
- Ability to work effectively across engineering, IT, and data science domains
- Strong communication skills in English and German, willingness to collaborate in international teams
- Willingness to travel regularly to Freudenberg Technology Innovation (FTI) in Weinheim, Germany and short-term assignment to USA (approx. 8 months) during first two years
Tasks
- Develop and industrialize AI-driven methods
- Design and automate mechanical seal systems
- Analyze seal series for standardization and reuse
- Develop AI-assisted CAD prototypes
- Create Proofs of Concept for engineering workflows
- Enable automated data exchange between systems
- Conduct applied research and validate results
- Transfer research outcomes into scalable solutions
- Collaborate with interdisciplinary teams
- Contribute to internal knowledge sharing
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Native
- German – Native
Tools & Technologies
- Solid Edge
- Python
- AI
- neural networks
- generative AI
- LLMs
- agentic systems
- data analytics
- MLOps
- platform development
- PyTorch
- TensorFlow
Not a perfect match?
- EagleBurgmann Germany GmbH & Co. KGFull-timeOn-siteExperiencedWolfratshausen
- EagleBurgmann Germany GmbH & Co. KG
Team Lead FSI – Fluid-Structure Interaction(m/w/x)
Full-timeOn-siteSeniorWolfratshausen - EagleBurgmann Germany GmbH & Co. KG
Team Lead Test Fixture Design Compressor Seals(m/w/x)
Full-timeOn-siteSeniorWolfratshausen - EagleBurgmann Germany GmbH & Co. KG
Product Design Engineer - Special Pump Seals(m/w/x)
Full-timeOn-siteJuniorWolfratshausen - EagleBurgmann Germany GmbH & Co. KG
Advanced Design Engineer Dry Gas Seals(m/w/x)
Full-timeOn-siteNot specifiedWolfratshausen
Scientific Innovator – AI & CAD Automation(m/w/x)
Developing AI-driven methods and automating mechanical seal systems with AI-assisted CAD prototypes. Applied research and industrial engineering experience with automation focus required. Focus on neural networks, generative AI, and agentic systems.
Requirements
- Master’s or PhD in Mechanical Engineering, Computational Engineering, Computer Science, Mathematics, Physics, or related field
- Applied research and/or industrial engineering experience with focus on automation or digitalization
- Strong mechanical design and 3D CAD expertise, preferably Solid Edge or comparable systems
- Solid programming skills in Python and experience developing data-driven or AI-based solutions
- Practical experience in neural networks, generative AI / LLMs and agentic systems, data analytics, MLOps, or platform development
- Hands-on experience with machine learning frameworks like PyTorch or TensorFlow
- Ability to work effectively across engineering, IT, and data science domains
- Strong communication skills in English and German, willingness to collaborate in international teams
- Willingness to travel regularly to Freudenberg Technology Innovation (FTI) in Weinheim, Germany and short-term assignment to USA (approx. 8 months) during first two years
Tasks
- Develop and industrialize AI-driven methods
- Design and automate mechanical seal systems
- Analyze seal series for standardization and reuse
- Develop AI-assisted CAD prototypes
- Create Proofs of Concept for engineering workflows
- Enable automated data exchange between systems
- Conduct applied research and validate results
- Transfer research outcomes into scalable solutions
- Collaborate with interdisciplinary teams
- Contribute to internal knowledge sharing
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Native
- German – Native
Tools & Technologies
- Solid Edge
- Python
- AI
- neural networks
- generative AI
- LLMs
- agentic systems
- data analytics
- MLOps
- platform development
- PyTorch
- TensorFlow
About the Company
EagleBurgmann Germany GmbH & Co. KG
Industry
Engineering
Description
The company focuses on providing high-quality industrial mechanic training and fostering technical skills and teamwork.
Not a perfect match?
- EagleBurgmann Germany GmbH & Co. KG
Simulation Engineer(m/w/x)
Full-timeOn-siteExperiencedWolfratshausen - EagleBurgmann Germany GmbH & Co. KG
Team Lead FSI – Fluid-Structure Interaction(m/w/x)
Full-timeOn-siteSeniorWolfratshausen - EagleBurgmann Germany GmbH & Co. KG
Team Lead Test Fixture Design Compressor Seals(m/w/x)
Full-timeOn-siteSeniorWolfratshausen - EagleBurgmann Germany GmbH & Co. KG
Product Design Engineer - Special Pump Seals(m/w/x)
Full-timeOn-siteJuniorWolfratshausen - EagleBurgmann Germany GmbH & Co. KG
Advanced Design Engineer Dry Gas Seals(m/w/x)
Full-timeOn-siteNot specifiedWolfratshausen