CAE Modeling Lead

Virtual Design, Development & Validation - Modeling Lead 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. 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 TKV and build planning leading to 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 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 Your Skills & Abilities (Required Qualifications) 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). Strong problem-solving, communication, and project management skills. What Will Give You A Competitive Edge (Preferred Qualifications) 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, NX, Teamcenter, Python, LLM’s 3+ years of hands‑on experience and demonstrated ability in CAE analysis/synthesis in full vehicle Safety/NVH/Subsystem analysis. Experience in cross-functional leadership and change management. Foundational experience in Python Experience with CAE/CAD tool APIs and workflow automation (e.g., Siemens-NX, ANSA, Altair, NASTRAN, ANSYS, Ls-dyna, Abaqus) Experience deploying AI models/automation for engineering applications (e.g., surrogate modeling, workflow automation). Masters qualification in Engineering /Data Science /MBA #J-18808-Ljbffr General Motors