Aero CFD Intern – Motorsports AI & Data

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

Job summary

GM Motorsports seeks a Summer Intern to contribute to aerodynamic development across CFD, testing, data processing, and AI-driven optimization. You will work with engineers to develop workflows, validate ML models, and advance engineering methods for high-performance vehicle programs.

Hybrid role reporting to the Charlotte Technical Center in Concord, NC, with 40-hour weeks during summer. Candidates should have relevant physics/engineering coursework and a passion for motorsports.

Qualifications

• Pursuit of a bachelor's degree in one of the following areas: physics, mathematics, aerospace engineering, mechanical engineering, computational science, or a closely related field.
• Must be graduating after September 2027 or beyond.
• Able to work fulltime, 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.
• A strong foundation in one or more of the following areas: mechanical design, aerodynamics, CFD, computer vision, three-dimensional 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 both 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

Machine learning

Data processing

Aero engineering

Education

Physics

Mathematics

Aerospace Engineering

Mechanical Engineering

Computational Science

Tools

CAD

Meshing

High-Performance Computing

CI/CD

Job description

GM Motorsports seeks a Summer Intern to contribute to aerodynamic development across CFD, testing, data processing, and AI-driven optimization. You will work with engineers to develop workflows, validate ML models, and advance engineering methods for high-performance vehicle programs.

Hybrid role reporting to the Charlotte Technical Center in Concord, NC, with 40-hour weeks during summer. Candidates should have relevant physics/engineering coursework and a passion for motorsports.