General Motors GPS Structural Dynamics Analysis Engineer - GPS0000898 in Pontiac, Michigan

Role Summary

The GPS Structural Dynamics Analysis Engineer will conduct dynamic analyses for a wide variety of engine components such ascylinder heads, cylinder blocks, engine covers, exhaust systems, turbochargers, oil pans, & brackets.

Key Responsibilities

  • Retrieve and modify Unigraphics (NX) models of engine components and assemblies to support the creation of finite element (FE) models or multi-body dynamic (MBD) models
  • Create FE and/or MBD models of components and subsystems
  • Execute dynamic analysis to assess component and subsystem performance vs requirements
  • Provide design recommendations to meet requirements based on interpretation of analysis results
  • Participate in product design and development teams and present analysis results to engineering peers and management
  • Perform vibration data analysis (for both experimental and analytical data) using commercial or in-house software.
  • Continuously enhance standard analysis practices and tools to improve prediction fidelity and/or execution speed. Develop new methods as-required.
  • Work with test engineers to support the development of first-time capable analysis techniques
  • Document analysis objectives, conclusions, results, and assumptions
  • Stay abreast of new technology and competitive products
  • Travel as required

Education and Training

  • BS in Mechanical or Aerospace Engineering, with coursework in dynamics.
  • 1+ years combined experience in one or more of the following areas:

  • Structural or MBD analysis of powertrain components and systems

  • Noise and vibration data acquisition and analysis
  • Familiarity with Nastran, Optistruct, VL Motion, or similar analysis software
  • Familiarity with Hypermesh, Simlab or equivalent meshing & post-processing software

Preferred Skills and Experience

  • 2+ years of experience with dynamic analysis of powertrain components.
  • 2+ years of experience with N&V data acquisition and analysis techniques,
  • Familiarity with frequency domain analysis of periodic data.
  • MS preferred