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General Motors

Engineering Group Manager, AI/ML for Chassis Controls

General Motors

Engineering Group Manager overseeing AI/ML development for vehicle motion control at GM. Collaborating with cross-functional teams to drive innovative solutions in vehicle dynamics and safety systems.

Posted 6/12/2026full-timeMountain View • California, Missouri • 🇺🇸 United StatesSeniorLead💰 $217,500 - $333,400 per yearWebsite

Tech Stack

Tools & technologies
JavaPython

About the role

Key responsibilities & impact
  • Lead the development and deployment of AI/ML technologies for GM’s vehicle motion control and estimation
  • Collaborate with cross-functional teams, including control engineers, software developers, calibrators, and business stakeholders, to define project requirements and ensure successful execution
  • Ensure the timely delivery of projects by monitoring progress, addressing roadblocks, and implementing agile methodologies improve speed, quality, and safety across development cycles
  • Provide technical guidance and mentorship to engineers and foster a culture of continuous learning and professional growth
  • Stay abreast of emerging technologies and trends in AI/ML, recommending innovative approaches to enhance our designs
  • Define system architecture and design, incorporating best practices and industry standards to create robust and maintainable systems
  • Communicate project status, risks, and opportunities to senior leadership
  • Partner with other departments to promote AI/ML adoption across the organization
  • Manage resource planning and team development
  • Model and foster GM's Core Values and Winning Behaviors

Requirements

What you’ll need
  • 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
  • Familiarity with deep learning techniques, neural networks, and natural language processing
  • Solid understanding of computer programming languages such as Python, Java, C++, etc.
  • Demonstrated technical background in chassis controls and/or vehicle dynamics
  • Proven track record of successful project execution
  • Excellent multi-functional communication and leadership skills - able to get multiple teams moving in the same direction
  • Demonstrated ability to deal with ambiguity while driving timely decision making
  • Possess a valid driver’s license and the ability to operate test vehicles.

Benefits

Comp & perks
  • Company Vehicle evaluation program
  • Opportunity to participate in a company vehicle evaluation program
  • Access to Total Rewards resources
  • Professional development resources

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI/ML technologiescontrol systemsembedded control systemsafety critical system developmentmachine learning librariesdeep learning techniquesneural networksnatural language processingPythonJava
Soft Skills
leadershipcommunicationcollaborationmentorshipproject executionresource planningproblem-solvingdecision makingcontinuous learningadaptability
Certifications
Bachelor of Science degree