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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
Education
Languages
Tools & Technologies
- ABB AGFull-timeWorking StudentOn-siteMannheim
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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
Education
Languages
Tools & Technologies
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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