2027 Summer Intern - Motorsports Aerodynamics

General Motors; Saffron Walden; Hybrid; GBP 17,000 - 25,000; Full time

Benefits offered by this job

Hybrid work model

Mentorship program

Job summary

GM Motorsports is seeking a Summer Intern to contribute to aerodynamic development. You may work on CFD, physical testing, automation, data processing, and ML applications for engineering.

This hybrid role reports to the Charlotte Tech Center, NC, with three days in the office and start dates May 24 or June 14. Ideal candidates are pursuing a physics/engineering degree, graduating after 2027, and can commit to 40 hours per week during the summer.

Qualifications

• Pursuing a bachelor’s degree in physics, mathematics, aerospace or mechanical engineering or related field.
• Must be graduating after September 2027 or beyond.
• Able to work fulltime, 40 hours per week during the summer months.
• Experience with CFD surrogate models or data-driven performance prediction.
• Strong foundation in aerodynamics, CFD, machine learning or scientific computing.

Responsibilities

• Develop and improve CFD workflows across all stages from CAD prep to reporting.
• Create tools/methods for wind-tunnel testing including data acquisition and processing.
• Develop and validate ML or surrogate models for aerodynamic prediction.
• Build AI-enabled tools to improve engineering productivity and decision-making.
• Collaborate with engineers to define requirements, document methods, and communicate findings.

Skills

CFD development

Data processing

Machine learning

Education

Bachelor's degree in physics / aerospace / mechanical engineering

Tools

CFD software

CAD

Git/CI/CD

Job description

The Team

GM Motorsports is a high-performance engineering organization competing at the highest levels of global motorsport. Our programs span Cadillac Formula 1, Chevrolet NASCAR and INDYCAR, and Cadillac sports-car racing through IMSA and the LMDh program. Across these programs, our engineers develop and apply expertise in aerodynamics, vehicle performance, simulation, wind-tunnel testing, data science, software, tires, propulsion, and vehicle systems.

The Role

As a Summer Intern, you will contribute to aerodynamic development within GM Motorsports. Depending on team priorities and your background, your work may involve computational fluid dynamics (CFD), physical testing, automation, data processing, machine learning, or artificial intelligence applications for engineering.

What You'll Do

• 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.

Hybrid: This role is categorized as hybrid. The successful candidate is expected to report to the Charlotte Technical Center in Concord, NC, at least three days per week.

Start dates for this internship role are May 24th & June 14th of #####.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Requirements and 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.

Preferred Qualifications

• Strong interest in motorsports and high-performance vehicle development.
• Experience architecting, training, debugging, or evaluating deep-learning models.
• Experience using CFD to develop or optimize aerodynamic designs.
• Experience with scientific programming, software development, version control, CI/CD, or DevOps practices.
• Experience with CAD, geometry processing, meshing, high-performance computing, or engineering data pipelines.
• Experience working with experimental data, wind-tunnel testing, vehicle testing, or instrumentation.

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.