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Simulation R&D Engineer
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Molex
Lisle, IL (In Person)
Full-Time
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Job Description
Your Job We are seeking a highly motivated engineer to develop and apply artificial intelligence and machine learning (AI/ML) techniques to accelerate structural and electrical simulations. This role bridges product development, finite element analysis (FEA), signal integrity (SI) analysis, and AI modeling, enabling faster and smarter product design. You will work closely with domain experts in simulation and data science to explore physics-informed AI models and hybrid simulation workflows (e.g., reduced-order modeling, surrogate modeling, or neural operators) for real-world structural applications. Our Team At Molex, we create connections for life by enabling technologies that transform the future and improve lives. With a presence in more than 40 countries, we offer a complete range of connectivity products, services, and solutions across various industries, including data communications, medical, industrial, automotive, and consumer electronics. Our Datacom and Specialty Solutions (DSS) team specializes in providing high speed connector solutions essential for building reliable communications equipment, catering to telecommunications, datacom, hyperscalers, cloud, data center, and storage applications. We continue to innovate to meet the demands of next-generation markets. What You Will Do
- Develop, implement, and validate next-generation simulation frameworks that leverage data-driven and physics-based approaches to accelerate structural and multi-physics analyses.
- Integrate physics-informed or reduced-order models into existing FEA workflows (e.g., Abaqus, LS-DYNA, ANSYS Workbench) to enhance speed and scalability.
- Build and calibrate surrogate models that accurately approximate high-fidelity simulations while maintaining minimal accuracy loss.
- Automate data generation and management pipelines from FEA results to support model training, validation, and continuous improvement.
- Analyze and balance trade-offs among model fidelity, computational efficiency, and generalization performance for different applications.
- Evaluate and deploy emerging AI-for-simulation technologies (e.g., Altair PhysicsAI, Ansys SimAI) to accelerate structural, thermal, and electrical co-simulation and design optimization.
- Design and enhance automated optimization workflows that couple FEA and signal integrity simulations (e.g., using ModeFrontier, ANSYS OptiSLang, or equivalent platforms).
- Document, publish, and communicate findings to promote adoption of advanced simulation methodologies across engineering teams. Who You Are (Basic Qualifications)
- B.S. Degree in Mechanical Engineering, Computer Science, Data Science, or a related field.
- Strong foundation in solid mechanics, finite element methods (FEM), and numerical modeling for structural and multi-physics applications.
- Hands-on experience with one or more major FEA tools (e.