CAE NVH & Durability Analyst I
On-siteLivonia, Michigan, United States
Job Summary
Build NVH and durability models for automotive, aerospace, and entertainment applications using commercial CAE tools like Nastran, Abaqus, and ANSYS. Run linear, non-linear, and dynamic simulations, postprocess results, and provide engineering solutions supported by hand calculations. Develop detailed reports for customer meetings and create Python scripts for workflow automation. Manage analysis files in compliance with company data-retention policies while learning new CAE tools quickly. This entry-level role at Roush's Livonia facility focuses on solving real engineering problems across transportation and industrial segments.
Required Qualifications
- Bachelor of Science in Mechanical or Aerospace Engineering
- Coursework in Finite Element Analysis
- Coursework in Strength of Materials
- Coursework in Mechanical behavior of metals, plastics & composites
- Coursework in Noise & Vibration
- Experience in fundamentals of FEA methodologies
- Knowledge of mechanical systems
- Knowledge of automotive systems
- Knowledge of fundamentals of developing structures for NVH & Durability
- Good attention to detail
- Ability to use hand calculations and free body diagrams to validate input and results
- Ability to communicate verbal and written technical information
- Excellent problem-solving ability
Desired Qualifications
- Master of Science or Ph.D. in Mechanical or Aerospace Engineering
- Coursework in Finite Element Analysis
- Coursework in Strength of Materials
- Coursework in Mechanical behavior of metals, plastics & composites
- Coursework in Noise & Vibration
- U.S. Citizen allowing for International Traffic in Arms Regulations (ITAR) compliance
- Experience in writing process automation using python, or Excel VBA or C functions
- Familiarity with FEA/ fatigue simulation software packages (Nastran, Abaqus, nCode etc.)
- Software skills in finite element pre-processors, and post-processors (Altair Hyperworks, ANSA & META)
- Experience with real-world data integration and experimental validation
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.