Job Description

Role Objective: Serve as the critical link between physical testing and virtual simulation. This role requires an agile, highly skilled CAE analyst capable of building high-fidelity predictive models, proving strict physical correlation, and laying the groundwork for automated, generative design loops. Key Responsibilities:

• Predictive Simulation: Execute advanced CAE modeling and dynamic load case simulations to predict component performance and ensure design compliance.
• Root Cause & Design Evolution: Utilize CAE results to perform root-cause analysis on physical test failures. Drive design evolution through parametric studies, proving hypotheses and guiding CAD modifications.
• Physical Correlation: Lead rigorous model calibration. Integrate manufacturing data (e.g., Moldflow residual stress, weld lines) and dynamic material cards to achieve high-accuracy correlation with T0 physical test data.
• Automated Optimization: Architect, orchestrate, and support an automated CAE ecosystem coupled with optimization algorithms (e.g., LS-OPT, HEEDS) to drastically reduce design iteration loops.

Skills and Requirements

Experience: 5+ years of hands-on experience in advanced CAE meshing, pre-processing, solving, and post-processing (HyperWorks, ANSA, LS-PrePost, META, etc.).

• Solver Proficiency: Deep expertise executing both Implicit and Explicit simulations (LS-DYNA strongly preferred, or Abaqus/Radioss).
• Load Case Expertise: Thorough understanding and proven track record of executing impact (crash/high-speed), quasi-static, and static load case simulations.
• Material Physics: Strong foundation in engineering mechanics, multi-body physics, and specifically complex material behaviors (plastics, viscoelasticity, strain-rate dependency, and failure modeling).
• Validation Capabilities: Proven track record of conducting parametric studies and validating virtual models against physical testing, high-speed video, and physical prototypes.
• Optimization & Safety: Solid understanding of automotive safety requirements/impact load cases, mesh morphing, and topology optimization.
• Next-Gen Engineering (Bonus/Highly Desired): Knowledge of CAE automation (Python/Tcl scripting) and the capability to compound CAE data generation with Machine Learning (ML) and AI surrogate modeling techniques

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.