Virtual Design And Performance Engineer – Exterior Cae
General Motors
Hybrid (onsite 3 times per week)
Exterior component structural analysis
Finite element analysis (fea)
Linear and nonlinear analysis
General Motors is seeking a Virtual Design and Performance Engineer specializing in Exterior CAE to conduct structural analysis on various exterior components using Finite Element Analysis (FEA). The ideal candidate will collaborate with product development teams to optimize designs for safety and performance, while the position offers a hybrid work model and comprehensive benefits
Job Summary
Perform structural analysis on exterior components and sub-systems using Finite Element Analysis (FEA) to assess component designs and optimize for safety regulations and customer usage.
Interface with various engineering teams to ensure balance of vehicle structure requirements and design solutions, and participate in Product Development Teams (PDTs) to provide technical guidance.
General Motors is committed to a workplace that fosters inclusion and belonging, aiming for Zero Crashes, Zero Emissions, and Zero Congestion.
Matching Summary
Match Score: 85
General Motors is seeking a Virtual Design and Performance Engineer specializing in Exterior CAE to conduct structural analysis on various exterior components using Finite Element Analysis (FEA). The ideal candidate will collaborate with product development teams to optimize designs for safety and performance, while the position offers a hybrid work model and comprehensive benefits.
Skills & Requirements
Must-have
Exterior component structural analysis
Finite Element Analysis (FEA)
Linear and NonLinear Analysis
CAE geometry and model construction
Virtual assessment of designs
Topology optimization
Hybrid work model
Nice-to-have
Human-centered design process
Breakthrough hardware and battery systems
Intuitive design, intelligent software
Next-generation safety features
Global scale transportation shaping
Process automator development
Key Requirements
Bachelor's degree in Engineering
Experience in Linear Analysis (NASTRAN, OPTISTRUCT)