Descripción

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

Virtual Design, Development & Validation - Modeling Lead :

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).
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, 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

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.)

Este puesto se clasifica como híbrido. Esto significa que se espera que el candidato seleccionado se presente en una ubicación específica al menos 3 veces por semana {o con otra frecuencia indicada por su líder}.

Este puesto no es elegible para beneficios de reubicación. Los posibles costos de relocalización serán responsabilidad del candidato seleccionado.

Información sobre diversidad

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Adecuaciones (EE.UU. y Canadá)

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