Engine Performance Development Engineer – Diesel, Spark Ignited Combustion
Ford Motor Company
Spark
CAE Engineer, Vehicle Dynamics and Loads Prediction
General Motors
full-time
Posted on:
Location Type: Hybrid
Location: Warren • Missouri • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
About the role
- Work directly with designers, release engineers, validation engineers, test engineers, and chief engineers to support vehicle dynamics and chassis loads and ride/handling assessments on GM Defense projects.
- Build multi body dynamics models to establish optimized suspension and steering kinematic and compliance properties.
- Virtually integrate chassis tuning parts to meet vehicle-level ride, handling and steering targets.
- Optimize body and chassis structure cross-functionally with appropriate teams.
- Predict chassis interface loads to facilitate body and chassis systems and create CAE load cases consistent with objective tests and subjective evaluations.
- Integrate control systems as required for performance simulations and integrate cross-functional vehicle dynamics model including chassis & propulsion controls and physics.
- Act as a single point of contact for users inside and outside of the team and continually improve fidelity of chassis/vehicle models.
- Support/enable transition from hardware/on-road based development to lab and CAE environments through collaboration with vehicle development and objective test counterparts.
Requirements
- BS in Engineering.
- 5 years of Engineering experience.
- 3+ years of automotive experience with Simpack and Carsim.
- Experience with converting ADAMS/MotionView models to Simpack.
- Experience with multibody and/or controls integration tools such as MATLAB or Simulink.
- Experience with vehicle durability, pseudo-fatigue analysis and test lab support.
- Proven ability to work in teams, balancing technical theory with practical limitations.
- Strong oral and written communication skills.
- Position subject to export control restrictions; candidate must be a U.S. Person or able to obtain required export control authorization.
- GM does not provide immigration-related sponsorship (includes H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.).
- Preferred: Fluent in Simpack, ADAMS and Carsim with the ability to work interchangeably between them.
- Preferred: Advanced Degree in Mechanical, Aerospace, Aeronautical, Civil, or Naval Engineering.
- Preferred: 6+ years of related CAE engineering experience including FEA, Machine Learning or Spreadsheet solvers.
- Preferred: Advanced project work in vehicle dynamics and/or multi body dynamics modeling.
- Preferred: Experience in automotive chassis tuning and vehicle development.
- Preferred: Experience with modeling deformable road surfaces.
- Preferred: Experience with accelerated vibration profile generation from CAE simulation or test data.
- Preferred: Experience with Military Specifications such as MIL-STD-810.
- Preferred: Practical automotive experience - Building, restoring, modifying; Off-Road or Performance driving schools.
Benefits
- From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
- Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
- General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.
- General Motors offers opportunities and reasonable accommodations for individuals with disabilities.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
multibody dynamics modelingchassis tuningvehicle dynamicscontrols integrationpseudo-fatigue analysisfinite element analysis (FEA)machine learningspreadsheet solversmodeling deformable road surfacesaccelerated vibration profile generation
Soft skills
team collaborationcommunication skillsbalancing technical theory with practical limitations
Certifications
BS in EngineeringU.S. Person for export control
