Overview
On Site
Full Time
Skills
Machine Learning (ML)
Thermal management
Power electronics
Artificial intelligence
Real-time
Statistical models
Linear regression
Logistic regression
Deep learning
Mechanical engineering
Aerospace
Research
Aerodynamics
Optimization
Design
CUP
Startups
ISU
Simulation
Management
SAP BASIS
Mapping
Solaris Volume Manager
Training
Leadership
FOCUS
Recruiting
Screening
Job Details
Description
Innovate, research, and develop new Machine Learning (ML) and Scientific Machine Learning (SciML) techniques and methods to resolve complex engineering problems in Battery Electric Vehicle (BEV) aerodynamics, aerodynamics shape optimization, thermal management, power electronics heat sink design, and bell paint cup design. Research, develop and deploy Artificial Intelligence (AI) powered virtual wind tunnel Internal Startup (ISU) program for development of real time interactive prescriptive design tools to reduce passenger vehicle development cycle and improve passenger and commercial vehicle shape development meeting strict engineering (aerodynamics) and design (aesthetics) criteria and requirements. Use, train, and apply advanced statistical models (linear regression, logistic regression, Sobol' indices, simulation decomposition and Bayesian statistical models); supervised machine learning models (Kriging, Cokriging, radial basis function (RBF), manifold mapping, support vector machines (SVM), sparse identification of nonlinear dynamical systems (SINDy), and deep learning (deep neural networks)); and unsupervised machine learning models (principal component analysis, singular value decomposition, generative adversarial networks (GAN)) and reinforcement learning.
Additional Description
PhD in Mechanical Engineering, Aerospace Engineering, or related field, and one (1) year of experience as a Researcher, Engineer, Graduate Research Assistant, or related role. Must also have experience with: researching and developing Machine Learning (ML) techniques and methods to resolve aerodynamics shape optimization problems, and using and training advanced statistical models, supervised machine learning models, and unsupervised machine learning models.
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 aspire to be the most inclusive company in the world. 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, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Total Rewards | 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.
Diversity Information
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 workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
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 . 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.
Innovate, research, and develop new Machine Learning (ML) and Scientific Machine Learning (SciML) techniques and methods to resolve complex engineering problems in Battery Electric Vehicle (BEV) aerodynamics, aerodynamics shape optimization, thermal management, power electronics heat sink design, and bell paint cup design. Research, develop and deploy Artificial Intelligence (AI) powered virtual wind tunnel Internal Startup (ISU) program for development of real time interactive prescriptive design tools to reduce passenger vehicle development cycle and improve passenger and commercial vehicle shape development meeting strict engineering (aerodynamics) and design (aesthetics) criteria and requirements. Use, train, and apply advanced statistical models (linear regression, logistic regression, Sobol' indices, simulation decomposition and Bayesian statistical models); supervised machine learning models (Kriging, Cokriging, radial basis function (RBF), manifold mapping, support vector machines (SVM), sparse identification of nonlinear dynamical systems (SINDy), and deep learning (deep neural networks)); and unsupervised machine learning models (principal component analysis, singular value decomposition, generative adversarial networks (GAN)) and reinforcement learning.
Additional Description
PhD in Mechanical Engineering, Aerospace Engineering, or related field, and one (1) year of experience as a Researcher, Engineer, Graduate Research Assistant, or related role. Must also have experience with: researching and developing Machine Learning (ML) techniques and methods to resolve aerodynamics shape optimization problems, and using and training advanced statistical models, supervised machine learning models, and unsupervised machine learning models.
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 aspire to be the most inclusive company in the world. 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, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Total Rewards | 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.
Diversity Information
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 workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
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 . 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.