Job Description

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.


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.

Your Skills & Abilities (Required Qualifications)

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. U.S. Citizenship required pursuant to government contract 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.

What Will Give You A Competitive Edge (Preferred qualifications)

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.

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.)

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

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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Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.


All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.


We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit

How we Hire

.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment,

email

us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.