CAE Modeling Lead

About the role

The Virtual Design, Development & Validation - Modeling Lead at General Motors is responsible for leading the project management and delivery of Finite Element Analysis (FEA) models for full vehicle programs. This role involves integrating process automation and AI/ML applications to enhance modeling efficiency and quality, collaborating with cross-functional teams, and ensuring robust quality assurance across models and virtual engineering activities.

Responsibilities

• Independent Project Management and leadership in TKV and build planning leading to execution of full vehicle and subsystems models for programs to enable first time quality and on-time delivery of models
• Interact, proactively engage, effectively communicate and co-ordinate with Vehicle Performance Integration Manager/Design Release Engineer/Design Engineer/Suppliers/ Performance/Program teams to develop efficient workflows and refine plans for model builds while continuously assessing and mitigating risk
• Lead and leverage globally distributed team for model builds
• Perform risk assessment, monitor progress and enable first time quality and on-time delivery of models
• Lead conducting robust root cause and preventive action summary on quality improvement opportunities on CAD inputs, full vehicle safety, body, trim structure (nvh) and flex models. Demonstrate application of 5 why principles leading to process, people and tools improvement
• Identify & Lead efficiency and effectiveness improvement opportunities for master models builds
• Actively apply process integration principles on day-to-day activities and propose improvements
• Perform full Virtual Vehicle assembly, integration and quality checks on models with a focus on Safety and NVH models
• Collaborate with VDDV consumer base and develop build plans and robust statement of requirements (SoR) for each modelling event
• Design, develop, and deploy AI/ML models to automate and enhance CAE modelling & simulation workflows, including meshing, boundary condition setup, post-processing, and predictive analytics
• Work closely with CAE, CAD and data science teams to identify opportunities for AI-driven process optimization and digital transformation
• Lead cross-functional projects that leverage modelling and simulation data for machine learning applications
• Drive innovation by applying AI/ML to improve quality assurance, automate repetitive tasks, and improve model fidelity
• Document workflows, results, and lessons learned for organizational knowledge sharing
• Leverage internal best practices and provide technical leadership and lead road to lab to math projects in alignment with Technology Roadmaps & Vision for modelling enterprise

Requirements

• Bachelor's degree in Engineering, Computer Science, Data Science or Physics
• 6 + years relevant experience in Virtual engineering : CAE / Design core / Validation / Design Release/Performance/ Data Analytics & Science/ AI & ML
• Knowledge of vehicle development process and cross functional interfaces
• Demonstrated skills in disciplined problem solving and data analysis
• Knowledge of Finite Element Analysis (FEA) theory/ Design development and application
• Experience with CAE/CAD/data analytics tools (ANSA, HYPERMESH, LS-DYNA, Optistruct/NASTRAN, ABAQUS, Primer, Siemens NX/Catia/Python/AI-ML framework)
• Demonstrated ability to collaborate with cross-functional teams (e.g., CAD, simulation, release, program management)
• Demonstrated skills in disciplined problem solving (5-Why) and data analysis
• Strong problem-solving, communication, and project management skills

Qualifications

• Bachelor's degree in Engineering, Computer Science, Data Science or Physics
• 6 + years relevant experience in Virtual engineering : CAE/ Design Release/Performance/ Data Analytics & Science
• Knowledge of vehicle development process and cross functional interfaces
• Demonstrated skills in disciplined problem solving and data analysis
• Knowledge of Finite Element Analysis (FEA) theory/ Design development and application
• Experience with CAE/CAD/data analytics tools (ANSA, HYPERMESH, LS-DYNA, Optistruct/NASTRAN, ABAQUS, Primer, Siemens NX/Catia/Python/AI-ML framework)
• Demonstrated ability to collaborate with cross-functional teams (e.g., CAD, simulation, release, program management)
• Demonstrated skills in disciplined problem solving (5-Why) and data analysis
• Strong problem-solving, communication, and project management skills

Skills

• DFSS black belt or similar certification
• Knowledge of vehicle development process and cross functional interfaces
• Demonstrated skills in disciplined problem solving and data analysis
• Knowledge of Finite Element Analysis (FEA) theory/ Design development and application
• Experience with CAE/CAD/data analytics tools (ANSA, Primer, Animator, LS-Dyna, Nastran, Optistruct/Radioss, Metapost, Abaqus, HyperWorks (HyperMesh/HyperView), DEP Meshworks, PowerBi, NX, Teamcenter, Python, LLM’s)
• Demonstrated ability to collaborate with cross-functional teams (e.g., CAD, simulation, release, program management)
• Demonstrated skills in disciplined problem solving (5-Why) and data analysis
• Strong problem-solving, communication, and project management skills

Benefits

General Motors offers competitive benefits packages including health insurance, retirement plans, paid time off, and more. For details, refer to the Benefits Overview section.