Aero & ML Intern: CFD‑Driven Vehicle Design

Aimlroles; Kentucky; Hybrid; USD 28,000 - 48,000; Full time

Job summary

General Motors is seeking a 2027 Summer Intern on the Vehicle Aerodynamics and Machine Learning team in a hybrid arrangement. The role blends physics-based simulation, CFD, and data-driven modeling to advance aerodynamic design and tooling.

You will collaborate with researchers and engineers to analyze flow fields, develop ML models, and translate results into practical engineering workflows, gaining broad expertise in aerodynamics, data analysis, and technical reporting.

Qualifications

• Pursuing MS/PhD in a technical field with strong computational skills.
• Experience with Python, ML libraries, and CFD workflows.
• Strong communication and problem-solving abilities.

Responsibilities

• Support vehicle aerodynamics research involving external flow and drag.
• Set up, run, monitor, and post-process CFD simulations.
• Prepare geometry, meshes, boundary conditions, and workflows.
• Develop and evaluate ML/surrogate models for aerodynamic quantities.
• Create data pipelines from CFD/experimental results and geometry.
• Document methods, results, and limitations for engineering audiences.

Skills

Python

MATLAB

C++

NumPy

pandas

SciPy

scikit-learn

PyTorch

TensorFlow

Education

MS or PhD in mechanical engineering or related

advanced degree coursework

Tools

CFD

CAE

CAD

Meshing

Linux

High-Performance Computing

Job description

General Motors is seeking a 2027 Summer Intern on the Vehicle Aerodynamics and Machine Learning team in a hybrid arrangement. The role blends physics-based simulation, CFD, and data-driven modeling to advance aerodynamic design and tooling.

You will collaborate with researchers and engineers to analyze flow fields, develop ML models, and translate results into practical engineering workflows, gaining broad expertise in aerodynamics, data analysis, and technical reporting.