2027 Summer Intern - Motorsports Aerodynamics

General Motors; Poltimore; Híbrido; GBP 19 000 - 29 000; Tempo integral

Resumo da oferta

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

The role is hybrid, with at least three days per week at the Charlotte Technical Center in Concord, NC, and start dates in late May or June. You will collaborate with engineers and technical leaders to define requirements and communicate recommendations.

Qualificações

• Pursuing a bachelor’s degree in physics, mathematics, aerospace or mechanical engineering, computational science, or related field.
• Graduating after September 2027 or later.
• Ability to work full-time, 40 hours per week during summer.
• Experience developing CFD surrogate or reduced-order models for performance prediction.
• Strong foundation in mechanical design, aerodynamics, CFD, ML, or scientific computing.
• Strong analytical and problem-solving skills with clear communication.

Responsabilidades

• Develop and improve CFD workflows across CAD prep, meshing, solver run, post-processing, and automated reporting.
• Create tools for wind-tunnel testing, data acquisition, and data processing.
• Develop machine-learning or surrogate models to predict aerodynamic performance.
• Build AI-enabled tools to boost engineering productivity and accelerate analysis.
• Collaborate with engineers to define requirements, document methods, and communicate results.

Conhecimentos

CFD

Surrogate models

Data-driven methods

Machine learning

Aerodynamics

Scientific computing

Communication

Programming

Formação académica

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

Ferramentas

CAD

Meshing

Python

Git

CI/CD

Descrição da oferta de emprego

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.