Job Description

The Role

As a Vehicle Energy Model and Toolchain Development Engineer, you will contribute to the development and enhancement of simulation tools and processes that predict vehicle energy usage, performance, and efficiency. Your work will support virtual engineering efforts across propulsion systems, including electric and internal combustion engines, with a focus on improving simulation fidelity and usability.

What You'll Do

• Improve Energy and Performance tool capability, fidelity, correlation, and data analysis techniques

• Identify opportunities for tool and model improvement - focus on growth areas such as Co-Simulation, Machine Learning, User Experience, Variation Analysis, Modular Systems & Fidelity Levels.

• Train the users of Energy tools and provide support as needed

• Collaborate cross-functionally with other focus areas such as Thermal Analysis, Vehicle Dynamics, Vehicle Controls, Electrification Analysis, etc.

Additional Job Description:

Your Skills & Abilities (Required Qualifications)

• Bachelor's Degree in Engineering 

• 5+ years of relevant experience

• Experience with vehicle simulation tools and software, or ability to rapidly learn and develop capability

• Experience with Simulation and Analysis Tools such as MATLAB/ Simulink/ SimScape, GT-Suite, AMESim, GMSim, CarSim, AVL and/or vehicle controls and calibration.

• Knowledge of Vehicle, Powertrain, and Controls Integration

• Interest in developing tools and processes to drive increased organizational effectiveness

• Demonstrated ability to dissect and leverage analysis and test data

• Solid understanding of engineering theory and principles of mechanical/electrical/thermal systems

• Desire to over-achieve goals and objectives and effectively represent the tool or vehicle customer

What Will Give You A Competitive Edge (Preferred Qualifications)

• 7+ years of relevant experience

• Specialized advanced degree in vehicle energy systems

• Passion for tool development and vehicle Efficiency, Fuel Economy, EV Range and Performance

• Knowledge and/or experience in Big Data, Machine Learning or Artificial Intelligence

• Experience with GM Vehicle and Powertrain Development Process, Advanced through Execution

• DFSS Black Belt Certification

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.

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

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