CAE Modeling Lead

Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..

The Role

You will be responsible for leading the project management and delivery of Finite Element Analysis (FEA) models for full vehicle programs, integrating process automation and AI/ML applications to enhance modeling efficiency and quality. By uniting modelling art and science with data-driven innovation, you will collaborate with cross-functional teams, including CAD & simulation engineering, to continuously improve modeling workflows, accelerate GxDP and ensure robust quality assurance across models and virtual engineering activities. You will have opportunities for professional growth in project management, AI/ML, cloud platforms, and enterprise leadership through mentorship, training, and participation in leadership & innovation communities

What You'll Do

• Independent Project Management and leadership in planning and execution of full vehicle and subsystems models for programs to enable first time quality and ontime 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 ontime delivery of models
• Lead conducting robust root cause and preventive action summary on quality improvement opportunities on 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 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
• Collaborate with IT and data science teams to integrate machine learning solutions into production environments, ensuring robust model monitoring and continuous improvement
• 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

• 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 and application
• Experience with CAE/CAD/data analytics tools (ANSA, HYPERMESH, LS-DYNA, Optistruct/NASTRAN, ABAQUS, Primer, Siemens NX/Catia/Python/AI-ML framework)
• 3+ years of hands -on experience and demonstrated ability in creating Full Vehicle Safety and Crashworthiness /Trimmed Structure/Complex vehicle subsystem models and analysis/synthesis of vehicle CAE loadcases for product development
• Foundational experience in Python
• Demonstrated ability to collaborate with cross-functional teams (e.g., CAD, simulation, data science).
• Demonstrated skills in disciplined problem solving ( 5- Why ) and data analysis.
• Strong problem-solving, communication, and project management skills.

• DFSS black belt or similar certification.
• 10+ years relevant experience in Virtual engineering: CAE / Design Release / Performance/ Data Analytics & Science.
• 3+ years' experience with CAE, CAD, and data analytics tools such as ANSA, Primer, Animator, LS-Dyna, Nastran, Optistruct/Radioss, Metapost, Abaqus, HyperWorks (HyperMesh/HyperView), DEP Meshworks, PowerBi, Large Language Models, Python, TensorFlow, PyTorch, Databricks, NX, Teamcenter,Unified digital thread.
• Experience with CAE tool APIs and workflow automation (e.g., ANSA, Altair, NASTRAN, ANSYS,Ls-dyna, Abaqus
• Experience in AI/ML framework
• Experience developing and deploying AI/ML models for engineering applications (e.g., surrogate modeling, workflow automation).
• Demonstrated ability to leverage IT platforms (Databricks, LLMs, Python) for optimizing virtual engineering workflows and managing large datasets."
• Experience in cross-functional leadership and change management.
• Masters qualification in Engineering /Data Science /MBA