CAE Modeling Lead

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. Were turning todays impossible into tomorrows 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 peopleas we aim to makedriving 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 Youll 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)

• Bachelors degree in Engineering Computer Science Data Science or Physics
• 6 yearsrelevant 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 yearsrelevant 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 TeamcenterUnified digital thread.
• Experience with CAE tool APIs and workflow automation (e.g. ANSA Altair NASTRAN ANSYSLs-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

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

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Non-Discrimination and Equal Employment Opportunities (U.S.)

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All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

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