Aero CFD Intern - AI-Driven Motorsport Engineering

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

Job summary

GM Motorsports is a high-performance engineering organization competing at the highest levels of global motorsport. As a Summer Intern, you will contribute to aerodynamic development, with work spanning CFD, testing, data processing, and ML applications for engineering.

Hybrid role reporting to the Charlotte Technical Center in Concord, NC, with start dates in late May or June. Candidates must be pursuing relevant degrees and be available for 40 hours per week during summer.

Qualifications

• Pursuit of a bachelor's degree in physics, mathematics, aerospace engineering, mechanical engineering, computational science, or 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

Reduced-order models

Data-driven methods

Aerodynamics

Machine learning

Scientific computing

Mechanical design

CFD

Analytical thinking

Education

Bachelor's degree in physics

Bachelor's degree in mathematics

Bachelor's degree in aerospace engineering

Bachelor's degree in mechanical engineering

Bachelor's degree in computational science

Tools

CAD

Meshing

HPC

Python

CI/CD

Job description

GM Motorsports is a high-performance engineering organization competing at the highest levels of global motorsport. As a Summer Intern, you will contribute to aerodynamic development, with work spanning CFD, testing, data processing, and ML applications for engineering.

Hybrid role reporting to the Charlotte Technical Center in Concord, NC, with start dates in late May or June. Candidates must be pursuing relevant degrees and be available for 40 hours per week during summer.