CAE Modeling Lead

ven 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

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 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.

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, 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

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

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