Jobs · Michigan

Virtual Propulsion Engineer

General Motors · Warren, MI · 1 wk ago
HybridFull-time

Key Responsibilities

  • Lead CAE capability development
  • Own the creation, enhancement, and deployment of new CAE methodologies, tools, and best practices to support evolving product and performance requirements.
  • Identify gaps in current analysis capabilities and drive continuous improvement initiatives to close them.
  • Execute analysis for product development programs
  • Participate as the CAE lead on new, major, and minor product design programs, providing analysis-based insights to support concept selection, design trade-offs, and design validation.
  • Plan and execute simulation activities to assess structural performance, durability, stiffness, strength, or other performance attributes as required by the program.

Qualifications

  • Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, or related field.
  • Significant hands-on experience with FEA-based CAE tools (e.g., ANSA, HyperMesh, Nastran, Abaqus, OptiStruct, or equivalent).
  • Proven experience building and executing FEA models from CAD solid models, including meshing, boundary condition setup, and results interpretation.
  • Strong understanding of mechanics, materials, and structural analysis fundamentals.
  • Demonstrated ability to perform root cause analysis and translate simulation results into clear design recommendations.

Required: Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, or related field. Significant hands-on experience with FEA-based CAE tools (e.g., ANSA, HyperMesh, Nastran, Abaqus, OptiStruct, or equivalent). Proven experience building and executing FEA models from CAD solid models, including meshing, boundary condition setup, and results interpretation. Strong understanding of mechanics, materials, and structural analysis fundamentals. Demonstrated ability to perform root cause analysis and translate simulation results into clear design recommendations.

Preferred: Master’s degree in a relevant engineering discipline. Experience supporting product development teams on full lifecycle programs (concept through launch). Familiarity with optimization, DOE, and automation of CAE workflows. Experience correlating CAE results with physical test data and refining models accordingly. Prior experience mentoring or leading other engineers in a CAE-focused environment.

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