Job Description

Core Responsibilities

• Lead structural durability and fatigue sign-off for systems such as body structures, frames, and EV battery trays prior to prototype builds.
• Oversee complex full‑vehicle explicit & implicit dynamic simulations (ground strikes, curb strikes, cyclic loading) to validate structural resilience.
• Correlate virtual models with physical test results to ensure predictive accuracy.
• Conduct physics‑based root cause analysis to diagnose and resolve durability concerns from early development through production.
• Mentor junior engineers and drive development of advanced CAE methodologies.
• Collaborate with design, manufacturing, and road‑load teams to set design load targets and integrate durability lessons learned.

Key Technical Skills & Qualifications

• Proficiency with Abaqus, Nastran, nCode DesignLife, FEMFAT.
• Strong understanding of fatigue, plasticity, ductile failure, and joining techniques in HSLA and cast materials.
• Experience with ANSA/HyperMesh and HyperView/Meta/Post; Python/MATLAB preferred for automation.
• Excellent communication and presentation skills.
• 10+ years of experience in structural components and CAE correlation.

Special Considerations – AI & Machine Learning

• Experience with Reduced Order Modeling (ROM) and Neural Networks for accelerating CAE workflows.
• Familiarity with AI‑driven design tools such as Altair PhysicsAI and Ansys SimAI.
• Understanding of generative design for topology optimization, durability, and mass reduction

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