Aero CFD & ML Intern — Hybrid (Summer)

General Motors; Dartford; Hybrid; GBP 21,000 - 31,000; Full time

Job summary

GM Motorsports is seeking a Summer Intern to contribute to aerodynamic development and CFD workflow enhancement. You will work on CAD prep, meshing, solver runs, data post-processing, and reporting while exploring machine-learning approaches for performance prediction.

The role may involve wind-tunnel test planning, data acquisition, and AI-enabled productivity tools. Hybrid work is available with reporting at the Charlotte Technical Center, Concord, NC during the summer.

Qualifications

• Pursuing a bachelor's degree in physics, mathematics, aerospace engineering, mechanical engineering, computational science, or a closely related field.
• Must be graduating after September 2027 or beyond.
• Able to work full-time, 40 hours per week during the summer months.
• Demonstrated experience developing CFD surrogate models, reduced-order models, or other data-driven methods for performance prediction or flow-field inference.
• Strong foundation in mechanical design, aerodynamics, CFD, computer vision, 3D generative design, machine learning, or scientific computing.
• Strong analytical and quantitative problem-solving skills grounded in physical principles.
• Demonstrated engineering capability through research, coursework, or prior technical projects.
• Ability to communicate complex technical findings clearly to specialized and cross-functional audiences.
• Curiosity, initiative, and a commitment to advancing engineering methods and technology.

Responsibilities

• Develop and improve CFD workflows across CAD preparation, geometry cleanup, meshing, solver execution, post-processing, and automated reporting.
• Develop tools and methods for wind-tunnel aerodynamic testing, including test planning, instrumentation, data acquisition, controls, and data processing.
• Develop and validate machine-learning or surrogate models that improve aerodynamic performance prediction and flow-field inference.
• Develop AI-enabled tools that improve engineering productivity, accelerate analysis, and support technical decision-making.
• Work with engineers and technical leaders to define requirements, evaluate results, document methods, and communicate recommendations.
• Projects will be defined by team needs and aligned with the candidate's experience, interests, and development goals.

Skills

CFD surrogate models

Data-driven methods

Mechanical design

Aerodynamics

Machine learning

Scientific computing

Communication skills

Analytical thinking

CFD

Programming

Education

Physics

Mathematics

Aerospace Engineering

Mechanical Engineering

Computational Science

Tools

CAD

Geometry processing

Meshing

HPC

Data pipelines

Job description

GM Motorsports is seeking a Summer Intern to contribute to aerodynamic development and CFD workflow enhancement. You will work on CAD prep, meshing, solver runs, data post-processing, and reporting while exploring machine-learning approaches for performance prediction.

The role may involve wind-tunnel test planning, data acquisition, and AI-enabled productivity tools. Hybrid work is available with reporting at the Charlotte Technical Center, Concord, NC during the summer.