LS-DYNA CAE Modeling Engineer – Vehicle Safety

General Motors LLC

United States

On-site

USD 90,000 - 130,000

Full time

5 days ago
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Job summary

General Motors Defense is seeking an engineer to build and maintain CAE models focused on LS-DYNA for VDDV programs. You will prepare models, perform pre/post-processing, and document assumptions and findings.

Collaboration with design, materials and simulation teams is essential to resolve non-routine issues and improve processes. You will also contribute to automation and apply GM modeling standards, ensuring model quality and timely delivery across vehicle-level analyses.

Qualifications

  • Bachelor's degree in Engineering or Physics.
  • 3+ years of CAE/FEA experience in vehicle engineering or related field.
  • Ability to communicate assumptions, risks and results clearly.
  • Basic scripting in Python, Tcl/Tk or similar for automation.
  • Experience developing LS-DYNA models and using pre/post-processing tools (ANSA/Primer).
  • Experience with Siemens NX, Teamcenter or visualization tools.

Responsibilities

  • Create, update and quality-check CAE models using GM standards.
  • Prepare LS-DYNA models and perform pre/post-processing for vehicle/component analyses.
  • Review model quality and document assumptions, findings and issues.
  • Identify and resolve non-routine modeling issues using engineering judgment.
  • Coordinate with designers, DREs, materials, simulation teams and programs.
  • Support analyses in vehicle safety, crashworthiness, and sensing domains.

Skills

CAE/FEA
LS-DYNA
Python scripting
Pre/post-processing tools
Siemens NX
Teamwork & communication
U.S. Person

Education

Bachelor's degree in Engineering or Physics

Tools

LS-DYNA
ANSA
Primer
Siemens NX
Teamcenter

Job description

General Motors Defense is seeking an engineer to build and maintain CAE models focused on LS-DYNA for VDDV programs. You will prepare models, perform pre/post-processing, and document assumptions and findings.

Collaboration with design, materials and simulation teams is essential to resolve non-routine issues and improve processes. You will also contribute to automation and apply GM modeling standards, ensuring model quality and timely delivery across vehicle-level analyses.

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