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General Motors · 3 months ago

Senior Researcher - Energy & Propulsion Systems Aerodynamics

Warren, Michigan, United States of America

Full-time

Hybrid

Mid, Senior Level

3+ years exp

General Motors is a leading automotive company focused on innovation and sustainability. They are seeking a highly motivated Vehicle Aerodynamics Engineer with expertise in Computational Fluid Dynamics and Artificial Intelligence/Machine Learning to drive aerodynamic design and optimization for next-generation vehicles.

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

Computational Fluid Dynamics (CFD)Artificial Intelligence/Machine Learning (AI/ML)Vehicle AerodynamicsFluid DynamicsDesign Optimization WorkflowsCFD ToolsHPC EnvironmentsAnalytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration Skills

Required

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