General Motors
2027 Summer Intern – Research and Development – Vehicle Aerodynamics and Machine Learning
Warren, Michigan, United States of America · Hybrid · Internship · Posted Oct 30, 2026
- Education
- Pursuit of an advanced degree (MS or PhD) in mechanical engineering, aerospace engineering, computational engineering, computer science, applied mathematics, physics, data science, or a related technical discipline.
- Visa sponsorship
- GM does not provide immigration-related sponsorship for this role; applicants who need sponsorship now or in the future should not apply.
About the job
Supports research applying CFD and machine learning to improve vehicle aerodynamics, accelerate design exploration, and create engineering tools.
What you'll do
- Set up, run, and analyze CFD simulations and aerodynamic performance data.
- Develop and evaluate machine-learning or surrogate models, comparing predictions with trusted engineering results.
- Automate workflows and communicate findings through documentation, visualizations, reports, and presentations.
What they ask for
- Pursuing an MS or PhD in a listed or related technical discipline.
- Available to work full time, 40 hours per week during the summer.
Nice to have
- Coursework, research, or project experience in fluid mechanics, vehicle aerodynamics, CFD, or related fields.
- Experience with programming, scientific computing, machine learning, CFD/CAE, optimization, or engineering workflows.
Tools
CFD, Python, MATLAB, C++, NumPy, pandas, SciPy, scikit-learn
AI focus
Develops and evaluates scientific machine-learning and surrogate models for aerodynamic quantities and flow-field predictions, including physics-informed and data-driven approaches.
Model-written summary · the original posting is authoritative