Freudenberg Group · 1 day ago
AI Product Design Engineer
Freudenberg North America Limited Partnership is a company focused on innovative solutions in product development. They are seeking an AI Product Design Engineer to integrate advanced computational tools with artificial intelligence for optimizing product designs across various products.
AutomotiveCleanTechHome ServicesLaundry and Dry-cleaningManufacturingRetail
Responsibilities
The Product Design and AI Scientist will be responsible for integration of advanced computational tools, such as Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD), with artificial intelligence (AI) to optimize product designs across a variety of products. The ideal candidate will also contribute to the development of innovative solutions for product development and interface with both internal and external stakeholders to drive product development and innovation in key strategic areas
Participate in product design optimization using computational tools like FEA and CFD, integrating AI to accelerate and enhance design processes
Interface with AI tools to enhance computational modeling capabilities for product design, ensuring integration of data-driven techniques for material and structural analysis
Ensure adherence to all relevant quality standards, regulatory requirements, and safety protocols throughout the design and development process
Analyze and optimize Freudenberg components and products
Perform finite element analysis (FEA) and topology optimization using tools such as Abaqus or ANSYS, and evaluate results in the context of material and manufacturing constraints
Guide materials selection and substitution efforts for component redesign, using proprietary databases and engineering tradeoffs
Support the integration of AI/ML models with FEA and topology optimization workflows
Evaluate and refine designs for manufacturability, considering traditional processes
Provide knowledge on elastomers and polymers and their processing conditions, and manufacturing methods is preferred
Document workflows, tools, and deliverables to support handoff and commercial readiness
Participate in internal stakeholder meetings with all Business Groups, presenting technical findings clearly and effectively
Qualification
Required
MS or PhD in Mechanical Engineering, Materials Engineering, or related field
Strong experience (2+ years) in at least two of the following areas: Finite Element Analysis (e.g., Abaqus, ANSYS)
Topology optimization methods and AI tools (e.g. AI Agents)
Applied materials engineering or material selection for manufacturable component design
Familiarity with CAE procedures and target requirements for vehicle components
Ability to evaluate manufacturability and material-performance tradeoffs
Proficiency in Python and familiarity with APIs for engineering software integration
Experience in AI automation coding, simulation tools, and CAE tools
Eagerness to participate in a global team and present to stakeholders
Preferred
Knowledge on elastomers and polymers and their processing conditions, and manufacturing methods
Company
Freudenberg Group
Freudenberg is a global technology group that strengthens its customers and society long-term through forward-looking innovations.
Funding
Current Stage
Late StageLeadership Team
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