2026 Summer Intern - Motorsports Vehicle Dynamics Intern

Internship Opportunity At General Motors Motorsports Vehicle Dynamics Simulation Team

Work Arrangement: Hybrid. This role is categorized as hybrid. The successful candidate is expected to report to Charlotte Technical Center three times per week, at minimum.

The Team & Role: At General Motors we strive for a culture of excellence. We act with integrity. We are driven by ingenuity and innovation. We have the courage to do and say what is difficult. Each of us takes accountability for results, drives for continued efficiencies, and has the tenacity to win. We are seeking interns for the Motorsports Vehicle Dynamics Simulation Team to do complex analytical work that would positively contribute to the bottom line of our culture and our company. You would have the opportunity to gain experience in supporting the simulation team in the development of state-of-the-art tools for vehicle simulation and performance analysis.

Required Qualifications:

• Pursuit of a Masters or PhD degree in one of the following areas: Mechanical Engineering, Electrical Engineering, Mathematics, Physics, Computer Science or a related field
• Must be graduating between December 2026 - June 2029
• Strong understanding of vehicle dynamics, tire modeling and/or suspension kinematics
• Project level experience implementing vehicle simulation models or vehicle level controllers.
• Ability to program at an intermediate level in Python, C++, or MATLAB
• Knowledge of numerical optimization methods
• Demonstrated ability to collaborate with a team, as well as work independently.
• Strong organization skills, forward thinking mentality, and a superb attention to detail
• Ability to multi-task in a dynamic, constantly evolving environment, with exceptional work ethic and integrity

What Will Give You a Competitive Edge (Preferred Qualifications):

• Previous experience implementing vehicle dynamics models in Dymola/Modelica or CasADi experience through coursework or projects
• Previous experience or research work on multibody dynamics, Model Predictive Controllers (MPC), optimal control problems
• Ability to program in C++
• Familiarity with source control tools such as Git

Start dates for this internship role are May & June of 2026.

What You'll Get From Us (Benefits):

• Paid US GM Holidays
• GM Family First Vehicle Discount Program
• Result-based potential for growth within GM
• Intern events to network with company leaders and peers

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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