Durability CAE Engineer
Company: InDepth Engineering Solutions, LLC
Location: Novi
Posted on: February 14, 2026
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Job Description:
Job Description Job Description Responsibilities 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. 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. Model Correlation: Drive the alignment
between virtual simulation models and physical test results from
proving grounds or lab rigs to ensure predictive accuracy. Root
Cause Analysis: Use physics-based principles and simulation data to
diagnose and resolve durability failures from early development
through production. Technical Mentorship: Act as a "subject matter
expert" (SME), coaching junior engineers and developing new CAE
methodologies. 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. Requirements Key Technical Skills & Qualifications
Simulation Software Expertise: Mastery of CAE tools such as Abaqus,
Nastran and fatigue solvers like nCode DesignLife or FEMFAT.
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). 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. 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 Experience: Requires 10 years of experience in
structural components and CAE correlation for specialist roles.
Special Considerations: AI & Machine Learning Proficiency in
applying Reduced Order Modeling (ROM) and Neural Networks to
accelerate traditional CAE simulations.
Keywords: InDepth Engineering Solutions, LLC, Troy , Durability CAE Engineer, Engineering , Novi, Michigan
