Work Arrangement
This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI a minimum of three times per week or other frequency dictated by the business.
Relocation
This job may be eligible for relocation benefits
The Role
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.
What You’ll Do (Responsibilities)
Develop and execute CFD simulations to analyze and optimize vehicle aerodynamic performance.
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Develop passive and active aerodynamic technologies to improve aero performance
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Collaborate with cross-functional teams in design, engineering, and data science to deliver aerodynamic solutions.
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Conduct post-processing and visualization of simulation data to extract actionable insights.
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Support the development of digital twins and simulation-guided design frameworks.
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Integrate AI/ML techniques to accelerate simulation workflows and enable predictive modeling.
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Build and train surrogate models and physics-informed neural networks for flow prediction and design optimization.
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Present technical findings and recommendations to stakeholders across engineering and product teams.
Your Skills & Abilities (Required Qualifications)
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PhD in Aerospace, Automotive, or Mechanical Engineering specialized in Aerodynamics
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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.
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U.S. Citizenship required pursuant to government contract
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Deep understanding of vehicle aerodynamics , including drag reduction, downforce, and flow control.
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Strong understanding of fluid dynamics , turbulence modeling, and numerical methods.
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Experience in design optimization workflows using CFD and ML.
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Proficiency in CFD tools such as PowerFLOW and STAR-CCM+ .
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Familiarity with HPC environments and cloud computing
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Strong analytical and problem-solving abilities.
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Excellent communication and presentation skills.
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Proven ability to work collaboratively in multidisciplinary teams.
What Will Give You A Competitive Edge (Preferred qualifications)
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PhD with 3-5 years of experience
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Familiarity with development of CFD-based AI training data sets and AI model training
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Familiarity with various AI modeling approaches such as PINNs, GNNs, and Neural Operators
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Experience with AI/ML frameworks like Navasto, Neural Concept, Nvidia DoMINO , and techniques such as regression, classification, and deep learning.
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Knowledge of physics-informed ML models , surrogate modeling, and generative design.
Sponsorship
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
