JOB DESCRIPTION

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, MI or Warren, MI three times per week, at minimum.

WHAT YOU’LL NEED (REQUIRED QUALIFICATIONS)

• Bachelor of Science in Engineering, Math or Science or closely related field of study
• 5 or more years of relevant experience in the automotive, aircraft, construction, or related industries
• Experience applying computational methods to solve engineering problems
• Proficient in using scripting languages such as MATLAB or Python to automate and analyze simulations
• Demonstrated ability to work in teams, balancing technical theory with practical limitations
• Strong oral and written communication skills
• Demonstrate creative and independent thinking
• This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS)

• MS or PhD in Mechanical, Aerospace, Electrical, Software, Computer Engineering closely related field of study
• Familiarity with multibody and/or controls integration CAE tools such as Simpack, ADAMS, MotionView, Carsim, Carmaker, Matlab/Simulink, dSpace VEOS, Github and other similar tools.
• Advanced project or thesis work in vehicle dynamics and/or multi body dynamics modeling.
• Practical automotive experience - Building, restoring, modifying; Performance driving schools.
• Participation in automotive teams - Mini-Baja, Formula SAE, PACE, Eco-Car, etc.

THE ROLE

The Vehicle Dynamics Simulation Engineer leads the design and development of components and subsystems that critically impact vehicle dynamics performance and structural loads. This role leverages advanced virtual tools and full-vehicle simulation packages to drive integration across vehicle dynamics and related disciplines.
Engineers in this role will have the opportunity to specialize in technical domains such as tire modeling, control system integration, and other simulation-driven areas that influence vehicle behavior. A strong emphasis is placed on the use of automation methods such as continuous integration and continuous deployment (CI/CD) to ensure efficient, scalable, and repeatable simulation workflows.