Durability CAE Engineer
Listed on 2026-07-01
-
Engineering
Mechanical Engineer, Quality Engineering, Systems Engineer, Engineering Design & Technologists
Job Title
Job Information
Date Opened 02/05/2026
Job Type Full time
Industry Automotive
Work Experience 5+ years
City Novi
State/Province MI
Country United States
Zip/Postal Code 29293
Job DescriptionResponsibilities 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 Design Life 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 Hyper Mesh and Post-processors Hyper View 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.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).