Molex ยท 10 hours ago
Simulation R&D Engineer
Lisle, IL
Full-time
Onsite
Mid Level
$90K/yr - $120K/yrMolex is a leading supplier of connectors and interconnect components, driving innovation in electronics. They are seeking a motivated engineer to develop and apply AI/ML techniques for structural and electrical simulations, working closely with domain experts to enhance product design through advanced simulation methodologies.
ElectronicsLogisticsManufacturing
Responsibilities
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
Qualification
Required
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.g., Abaqus, ANSYS Workbench, LS-DYNA), including setup, analysis, and interpretation of results
Proficient in Python programming, with experience in numerical and scientific computing libraries such as NumPy, SciPy, and related tools
Experience with data preprocessing, model training, and validation workflows, including handling simulation datasets and building data pipelines for AI/ML applications
Excellent communication skills, with the ability to convey complex technical concepts effectively to interdisciplinary teams and stakeholders
Preferred
M.S. or Ph.D. in Mechanical Engineering, Computer Science, Data Science, or a related field, with a strong focus on computational modeling or AI applications
Experience with advanced machine learning architectures, such as Physics-Informed Neural Networks (PINNs) etc., for physics-based modeling
Prior exposure to AI-driven simulation frameworks such as PhysicsAI, SimAI, or equivalent platforms
Background in reduced-order modeling (ROM), surrogate modeling, or Bayesian calibration, with experience in integrating these approaches into simulation workflows
Familiarity with CAD/CAE automation and data pipelines for simulation-driven design and optimization
Proven ability to translate research concepts into practical, deployable solutions in engineering or simulation contexts
Strong record of technical contributions, such as peer-reviewed publications, patents, or conference presentations
Benefits
Medical
Dental
Vision
Flexible spending and health savings accounts
Life insurance
ADD
Disability
Retirement
Paid vacation/time off
Educational assistance
Infertility assistance
Paid parental leave
Adoption assistance
Company
Molex
Molex supplies electronic interconnect solutions and connectivity products for a broad range of industries. It is a sub-organization of Koch, Inc..
Founded in 1938
10001+ employees
H1B Sponsorship
Molex has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (94)
2024 (84)
2023 (73)
2022 (56)
2021 (59)
2020 (63)
Funding
Current Stage
Late StageTotal Funding
unknown2013-09-09Acquired
Leadership Team
Martin Slark
CEO
D
Demond johns
Founder
Recent News
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2025-11-21
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