GM-posted 5 days ago
Full-time • Mid Level
Hybrid • Warren, MI
5,001-10,000 employees

We are seeking a highly motivated and technically skilled Vehicle Aerodynamics Engineer with expertise in Computational Fluid Dynamics (CFD) and Artificial Intelligence/Machine Learning (AI/ML) to join our cutting-edge R&D team. This role is at the intersection of physics-based simulation and data-driven AI modeling, driving innovation in aerodynamic design and optimization for next-generation vehicles. The role requires an individual who is inquisitive, driven, and an excellent collaborator and communicator with a strong passion for applied research and extensive knowledge in vehicle aerodynamics including the latest in artificial intelligence / machine learning (AI/ML) approaches. You will identify, develop, and implement research and technology with disruptive value to GM in these key areas. As part of the GM R&D Energy and Propulsion Systems Research team, you will work with other high caliber researchers to improve vehicle efficiency, cost, and performance.

  • Develop and execute CFD simulations to analyze and optimize vehicle aerodynamic performance.
  • Develop passive and active aerodynamic technologies to improve aero performance
  • Collaborate with cross-functional teams in design, engineering, and data science to deliver aerodynamic solutions.
  • Conduct post-processing and visualization of simulation data to extract actionable insights.
  • Support the development of digital twins and simulation-guided design frameworks.
  • Integrate AI/ML techniques to accelerate simulation workflows and enable predictive modeling.
  • Build and train surrogate models and physics-informed neural networks for flow prediction and design optimization.
  • Present technical findings and recommendations to stakeholders across engineering and product teams.
  • U.S. Citizenship required pursuant to government contract
  • PhD in Aerospace, Automotive, or Mechanical Engineering specialized in Aerodynamics
  • Candidates must have either a minimum of three (3) years of relevant industry experience or a Ph.D. degree with demonstrated research experience in a related discipline.
  • Deep understanding of vehicle aerodynamics , including drag reduction, downforce, and flow control.
  • Strong understanding of fluid dynamics , turbulence modeling, and numerical methods.
  • Experience in design optimization workflows using CFD and ML.
  • Proficiency in CFD tools such as PowerFLOW and STAR-CCM+
  • Familiarity with HPC environments and cloud computing
  • Strong analytical and problem-solving abilities.
  • Excellent communication and presentation skills.
  • Proven ability to work collaboratively in multidisciplinary teams.
  • PhD with 3-5 years of experience
  • Familiarity with development of CFD-based AI training data sets and AI model training
  • Familiarity with various AI modeling approaches such as PINNs, GNNs, and Neural Operators
  • Experience with AI/ML frameworks like Navasto, Neural Concept, Nvidia DoMINO , and techniques such as regression, classification, and deep learning.
  • Knowledge of physics-informed ML models , surrogate modeling, and generative design.
  • From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
  • Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .
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