About The Position

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. Motorsports is a technology test bed for GM. The methods, tools, and insights developed at the racetrack can accelerate production-vehicle engineering, while GM’s production engineering capabilities help advance race-car performance. As an intern, you will work alongside experienced engineers and technical leaders on projects that connect high-performance racing with real-world engineering innovation.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • 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.
  • 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.

Benefits

  • Relocation benefits
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