Job 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:
Virtual Design, Development & Validation - Modeling Engineer :
You will be responsible to own and drive project management and contribute to delivery of Finite Element Analysis (FEA) models for full vehicle programs, collaborating with leadership to integrate process automation and AI/ML applications that enhance modeling efficiency and quality. Collaborate with cross-functional teams, including CAD & simulation engineering, to improve modeling workflows and support quality assurance across models and virtual engineering activities. You will have the chance to grow professionally in project management, virtual simulation, AI/ML, cloud platforms and enterprise leadership via mentorship, structured training, and active engagement in leadership and innovation networks - both internal and external to the department.
Responsibilities:
Execute project management tasks and assist 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.
Contribute to globally distributed team efforts for model builds.
Perform risk assessment, monitor progress and enable first time quality and ontime delivery of models
Support root cause and preventive action activities on quality improvement opportunities for 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
Collaborate with VDDV consumer base and develop robust statement of requirements ( SoR ) for each modelling event
Support design, development and deployment of 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
Document workflows, results, and lessons learned for organizational knowledge sharing.
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.
Support technical leadership initiatives and contribute to projects aligned with technology roadmaps for modeling enterprise.
Your Skills & Abilities (Qualifications):
Bachelor's degree in Engineering, Computer Science , Data Science or Physics
3-5 + yearsrelevant experience in Virtual engineering :CAE / Design core / Validation / Design Release/Performance/ Data Analytics & Science/ AI & ML .
Demonstrated skills in disciplined problem solving and data analysis.
Knowledge of Finite Element Analysis (FEA) theory and application
Experience with CAE, CAD or Data analytics tools (ANSA, HYPERMESH, LS-DYNA, Optistruct/NASTRAN, ABAQUS, Primer, Siemens NX/Python/AI-ML framework)
Exposure to vehicle CAE modeling, simulation, or analysis-such as creating models, supporting, running, or interpreting results from full vehicle safety, trimmed structure, or subsystem models and CAE loadcases per standard work. Candidates with strong AI/ML/Automation expertise who have worked with virtual engineering math and simulation data are also encouraged to apply.
Foundational experience in Python
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 communication and teamwork skills
What Will Give You a Competitive Edge (Preferred Qualifications):
DFSS black belt or similar certification.
2+ years' experience with CAE, CAD, and data analytics tools such as ANSA, Primer, Animator, LS-Dyna, Nastran, Optistruct, 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 CAE 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).
Familiarity with MLOps, data engineering, and cloud platforms (e.g., Databricks, Azure, AWS)
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.Exposure to vehicle development process and cross functional collaboration is a plus
Masters qualification in Engineering /Data Science
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.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (https://search-careers.gm.com/en/working-at-gm/total-rewards) .
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace
