Durability CAE Engineer

Responsibilities<\/span><\/b>
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• Virtual Sign -off & Validation: Lead the structural durability and fatigue sign -off for critical systems like body structures, frames, and electric vehicle (EV) battery trays before physical prototype builds.<\/span>
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• Advanced Simulation Leadership: Oversee complex, full -vehicle explicit and implicit dynamic simulations (e.g., ground strikes, curb strikes, and cyclic loading) to assess structural resilience.<\/span>
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• Model Correlation: Drive the alignment between virtual simulation models and physical test results from proving grounds or lab rigs to ensure predictive accuracy.<\/span>
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• Root Cause Analysis: Use physics -based principles and simulation data to diagnose and resolve durability failures from early development through production.<\/span>
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• Technical Mentorship: Act as a "subject matter expert" (SME), coaching junior engineers and developing new CAE methodologies.<\/span>
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• Cross -functional Collaboration: Engage with design, manufacturing, and "Road Load" teams to develop design load targets and ensure lessons learned are integrated into future vehicle architectures. <\/span>
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  Requirements<\/h3>

  Key Technical Skills & Qualifications<\/span><\/b>
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  • Simulation Software Expertise: Mastery of CAE tools such as Abaqus, Nastran and fatigue solvers like nCode DesignLife or FEMFAT.<\/span>
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  • Material Science Knowledge: Deep understanding of fatigue life prediction, plasticity, ductile failure, and metal joining methods (e.g., welding in HSLA steels or cast materials).<\/span>
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  • Data Processing: Proficiency in pre -processors ANSA or HyperMesh and Post -processors HyperView or Meta/Post. Familiarity in scripting languages like Python or MATLAB for automation would be a plus.<\/span>
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  • Communication & Presentation: Excellent communication skills, both written and verbal, with a proven ability to translate complex data into clear technical and executive presentations for leadership decision -making<\/span>
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  • Experience: Requires 10+ years of experience in structural components and CAE correlation for specialist roles. <\/span>
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    Special Considerations:<\/span><\/b>
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    • AI & Machine Learning <\/span><\/b>
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      • Proficiency in applying Reduced Order Modeling (ROM)<\/b> and Neural Networks<\/b> to accelerate traditional CAE simulations.<\/span>
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