Engineering Group Manager, AI/ML for Chassis Controls
Not Disclosed•Full-TimeHybrid
location_on622, Villa Street, Mountain View, Santa Clara County, California, 94041, United States
About the Team
Join GM's Vehicle Mechatronic Embedded Controls (VMEC) team within the Software and Services organization. Our mission is to invent cutting-edge methods to control the world's most advanced mechatronic systems, ranging from internal combustion engines and hybrid drive units to high-voltage batteries and chassis systems. We develop and release the control software and calibrations that drive the entire vehicle.
As a people leader, you will shape strategic initiatives that align with GM's transformation from a traditional automaker to a tech-driven company. This team works cross-functionally with embedded controls, systems, product, and program teams to deliver high-quality solutions that support GM's revenue-generating portfolio and accelerate our transition to an all-electric future.
Work location
Work model: Hybrid
622, Villa Street, Mountain View, Santa Clara County, California, 94041, United States
Mountain View, California
Key Responsibilities
- check_circleLead the development and deployment of AI/ML technologies for vehicle motion control and estimation
- check_circleDefine system architecture and design incorporating best practices and industry standards
- check_circleCollaborate with cross-functional teams to define project requirements and ensure successful execution
Similar Job Opportunities
Skills, education and keywords
Skills: Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Python, Java, C++, Chassis Controls, Vehicle Dynamics.
Education: Bachelor of Science degree in Mechanical, Electrical, Computer Science, Computer Engineering, Mathematics or related technical degree; Master of Science in Engineering or Master of Business Administration preferred.
Frequently asked questions about Engineering Group Manager, AI/ML for Chassis Controls at General Motors
What does a Engineering Group Manager, AI/ML for Chassis Controls at General Motors do?expand_more
A Engineering Group Manager, AI/ML for Chassis Controls at General Motors is responsible for the following: Lead the development and deployment of AI/ML technologies for vehicle motion control and estimation; Define system architecture and design incorporating best practices and industry standards; Collaborate with cross-functional teams to define project requirements and ensure successful execution; and Communicate project status, risks, and opportunities to senior leadership.
What are the requirements for this Engineering Group Manager, AI/ML for Chassis Controls role?expand_more
To qualify for the Engineering Group Manager, AI/ML for Chassis Controls at General Motors position, applicants should have: Bachelor of Science degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Mathematics or a related technical degree; Minimum of 7 years of professional engineering/technical experience; Minimum of 5 years of engineering experience related to AI/ML, control systems, embedded control system, and/or safety critical system development; Strong knowledge of AI/ML concepts, frameworks, and applications in software development; Experience with common machine learning libraries and frameworks; and Familiarity with deep learning techniques, neural networks, and natural language processing.