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AI Product Design Engineer(m/w/x)
Applying advanced computational methods for product development, leveraging data-driven modeling and simulation. MS/PhD in engineering or data science, with 2+ years in FEA/topology optimization or AI tools essential. Global project scope, advanced simulation tools.
Requirements
- MS or PhD in Mechanical Engineering, Materials Engineering, Data Science, or related field
- Strong experience (2+ years) in at least two of: Finite Element Analysis, topology optimization methods, AI tools, applied materials engineering, or material selection for manufacturable component design
- Proficiency in Python
- Familiarity with APIs for engineering software integration
- Experience in AI automation coding
- Experience with simulation tools
- Experience with CAE tools
- Eagerness to participate in a global team
- Ability to present to stakeholders
Tasks
- Execute global AI and ML projects
- Lead global AI and ML projects
- Apply data-driven modeling for quality
- Utilize simulation to accelerate design
- Design advanced AI solutions
- Implement advanced AI solutions
- Maintain advanced AI solutions
- Ensure high code quality via testing
- Document AI solution code
- Manage code with version control
- Standardize computational and AI methods
- Industrialize computational and AI methods
- Transfer methods into production environments
- Collaborate with international, cross-functional teams
- Communicate project findings internally
- Share best practices internally
- Build expertise in computational and AI
- Maintain expertise in data science
- Develop product, process, and material know-how
Work Experience
- 2 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Abaqus
- ANSYS
- AI Agents
- Python
- APIs
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AI Product Design Engineer(m/w/x)
Applying advanced computational methods for product development, leveraging data-driven modeling and simulation. MS/PhD in engineering or data science, with 2+ years in FEA/topology optimization or AI tools essential. Global project scope, advanced simulation tools.
Requirements
- MS or PhD in Mechanical Engineering, Materials Engineering, Data Science, or related field
- Strong experience (2+ years) in at least two of: Finite Element Analysis, topology optimization methods, AI tools, applied materials engineering, or material selection for manufacturable component design
- Proficiency in Python
- Familiarity with APIs for engineering software integration
- Experience in AI automation coding
- Experience with simulation tools
- Experience with CAE tools
- Eagerness to participate in a global team
- Ability to present to stakeholders
Tasks
- Execute global AI and ML projects
- Lead global AI and ML projects
- Apply data-driven modeling for quality
- Utilize simulation to accelerate design
- Design advanced AI solutions
- Implement advanced AI solutions
- Maintain advanced AI solutions
- Ensure high code quality via testing
- Document AI solution code
- Manage code with version control
- Standardize computational and AI methods
- Industrialize computational and AI methods
- Transfer methods into production environments
- Collaborate with international, cross-functional teams
- Communicate project findings internally
- Share best practices internally
- Build expertise in computational and AI
- Maintain expertise in data science
- Develop product, process, and material know-how
Work Experience
- 2 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Abaqus
- ANSYS
- AI Agents
- Python
- APIs
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Freudenberg FST GmbH
Industry
Engineering
Description
The company focuses on advanced manufacturing processes and innovation in Dosing Technologies.
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