General Motors · 7 hours ago
Senior Researcher - Energy & Propulsion Systems Aerodynamics
Warren, MI
Full-time
Hybrid
Mid, Senior Level
3+ years expGeneral Motors is 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 their cutting-edge R&D team. The role focuses on driving innovation in aerodynamic design and optimization for next-generation vehicles by developing and executing simulations and collaborating with cross-functional teams.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
No H1B
U.S. Citizen Only
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
Qualification
Required
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
Preferred
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
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
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