Motorsports Aero CFD & AI Intern (Hybrid)

General Motors; Stevenage; Hybrid; GBP 11,000 - 16,000; Full time

Job summary

GM Motorsports is seeking a Summer Intern to help advance aerodynamic development across CFD, testing, and data-driven methods. You will contribute to CFD workflows, geometry cleanup, and meshing, while also exploring AI-driven approaches to improve prediction and decision-making.

As part of a high-performance team, you will collaborate with engineers and leaders to define requirements, document methods, and communicate results.

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

data-driven methods

machine learning

aerodynamics

programming

communication

problem solving

Education

Bachelor's degree in physics, mathematics, aerospace engineering, mechanical engineering, computational science

Tools

CAD

meshing

Python

CI/CD

DevOps

data pipelines

Job description

GM Motorsports is seeking a Summer Intern to help advance aerodynamic development across CFD, testing, and data-driven methods. You will contribute to CFD workflows, geometry cleanup, and meshing, while also exploring AI-driven approaches to improve prediction and decision-making.

As part of a high-performance team, you will collaborate with engineers and leaders to define requirements, document methods, and communicate results.