Aero CFD Intern - ML & Automation for Motorsports

General Motors; Bath; Hybrid; GBP 34,000 - 52,000; Full time

Job summary

GM Motorsports seeks a Summer Intern to contribute to aerodynamic development across CFD, data processing, and AI-driven methods. You may engage in CFD workflows, physical testing, automation, and ML/surrogate modeling to enhance aerodynamic performance predictions.

The role offers hybrid work with reporting to the Charlotte Technical Center in Concord, NC, and provides a pathway to expand your engineering skills through diverse projects aligned with team needs.

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 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 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

Aerodynamics

Strong analytical skills

Education

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

Tools

CAD

Python

CI/CD

Data pipelines

High-performance computing

Job description

GM Motorsports seeks a Summer Intern to contribute to aerodynamic development across CFD, data processing, and AI-driven methods. You may engage in CFD workflows, physical testing, automation, and ML/surrogate modeling to enhance aerodynamic performance predictions.

The role offers hybrid work with reporting to the Charlotte Technical Center in Concord, NC, and provides a pathway to expand your engineering skills through diverse projects aligned with team needs.