Senior Researcher - Energy & Propulsion Systems Aerodynamics

General Motors • Warren, MI

1d • Hybrid

About The Position

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.

Requirements

• Candidate must be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee)
• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree