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Modeling Engineer
Modeling EngineerGM • Warren, Ohio, USA
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Modeling Engineer

Modeling Engineer

GM • Warren, Ohio, USA
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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 :

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) :

  • Bachelors degree in Engineering Computer Science Data Science or Physics
  • 3-5 years relevant 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 analysissuch 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 TeamcenterUnified digital thread.
  • Experience with CAE tool APIs and CAE 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).
  • 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 were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .

    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 creates an environment in which our employees can thrive and develop better products for our customers.

    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 .

    Accommodations

    General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment email us or call us your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

    Key Skills

    ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 800 - 7580

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    Engineer • Warren, Ohio, USA

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