Okay, I've searched for Product Design and AI Engineer roles in Plymouth, MI with hybrid work options, requiring 2+ years of experience, and emphasizing computational modeling and AI integration in engineering. I have found several positions for you.

Sure. Here's the analysis:

Job Analysis:

The Product Design and AI Engineer role at Freudenberg is fundamentally centered on leveraging advanced computational modeling tools such as Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD) together with artificial intelligence techniques to optimize product designs across diverse material systems, particularly elastomers, polymers, silicones, and polyurethane. The candidate is expected to blend deep engineering expertise with AI-driven methods to accelerate design cycles, improve product performance, and innovate in high-stakes applications like battery modules and thermal management. Success here isn’t just about technical proficiency—it requires strategic thinking to integrate data-driven approaches with classical material science, navigating complex multiphysics and multiscale modeling. Challenges will include aligning AI outputs with practical engineering constraints, collaborating cross-functionally among R&D, manufacturing, and AI specialists, and keeping pace with rapidly evolving computational technologies. The job demands autonomy and strong communication skills to act as the bridge between design teams and AI experts, with performance measured by the efficiency and quality of optimized designs, innovation contribution, and leadership in driving forward-thinking solutions within a quality- and safety-conscious environment.

Company Analysis:

Freudenberg is a long-established, highly diversified global technology group that emphasizes innovation, reliability, and proactive responsibility. Their expansive portfolio, covering everything from seals and vibration control to specialty chemicals and medical products, shows a company deeply embedded in technical excellence and varied markets. The company’s commitment to diversity, team spirit, and forward-looking innovation defines a culture that values depth of knowledge, collaboration, and continuous development. For a candidate entering the Product Design and AI Engineer role, this means engaging in an environment where sustained innovation is prized, and cross-disciplinary teamwork is the norm. The Plymouth, MI hybrid work setting likely balances structured collaboration with flexibility, while the global footprint offers international growth potential. Strategically, this role supports Freudenberg’s drive to maintain technological leadership by integrating AI into product design, particularly in emerging areas like battery technology, critical for future sustainability trends. The candidate will have visibility across teams and leadership layers, expected to influence and communicate complex technical insights clearly, thereby playing a pivotal role in the company’s roadmap toward digitalization and engineering excellence.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to integrate a new technology like AI or machine learning into an existing engineering workflow. How did you approach the challenge?
• Behavioral: Describe a situation where you had to work cross-functionally with teams from different disciplines (e.g., R&D, manufacturing, data science). What strategies did you use to ensure effective collaboration?
• Behavioral: Can you share an experience where you faced ambiguity or incomplete information in a design project? How did you proceed to make sound decisions?
• Behavioral: Give an example of how you managed competing priorities or tight deadlines while ensuring technical quality in your work.
• Technical: How would you approach integrating AI-driven optimization with FEA/CFD simulations in the context of material design for battery components?
• Technical: Which programming languages and computational tools have you used for multiphysics modeling, and how have you applied them to solve complex product design problems?
• Technical: Explain your experience with specific AI/ML techniques like Bayesian optimization and how they can accelerate product design cycles.
• Technical: What considerations do you prioritize when selecting materials for thermal management applications in battery modules?
• Situational: Imagine you discover a discrepancy between AI-generated design recommendations and practical manufacturing constraints. How would you resolve this conflict?
• Situational: Suppose you are leading a project to implement a novel computational approach but encounter resistance from team members unfamiliar with AI methods. How would you gain their buy-in?
• Situational: If a senior leader asks you to present technical results to a non-technical audience, how would you tailor your communication to maximize understanding and impact?
• Company Fit: Why are you interested in working at Freudenberg specifically, and how do you see your role contributing to our mission of sustainable, innovative technologies?
• Company Fit: How do your core values and work style align with Freudenberg’s emphasis on diversity, proactive responsibility, and team spirit?
• Company Fit: Freudenberg operates in highly regulated industries and diverse markets. How do you stay up to date and ensure compliance within your design and AI practices?
• Questions for Interviewer: How does Freudenberg currently integrate AI and computational modeling across different product lines, and what are the biggest challenges you see in scaling these efforts?
• Questions for Interviewer: Can you describe the typical cross-functional teams this role collaborates with and how the Product Design and AI Engineer influences strategic decision-making?
• Questions for Interviewer: What opportunities for international collaboration or professional development does Freudenberg offer to someone in this role?