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  1. Home
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  3. engineering
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  5. Engineering Group Manager, AI/ML for Chassis Controls
General Motors logo

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

Apply Now

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, developing and releasing the control software and calibrations that drive the entire vehicle. From internal combustion engines and hybrid drive units to high-voltage batteries and chassis systems, we are dedicated to accelerating GM's transition to an all-electric future.

We are transforming from a traditional automaker into a tech-driven company. Our team works cross-functionally with embedded controls, systems, product, and program teams to deliver high-quality solutions that support GM's revenue-generating portfolio. As a people leader in this group, you will shape strategic initiatives that align with this broader transformation while fostering a collaborative, agile environment that empowers innovation and growth.

About the Role

We are seeking a dynamic and experienced Engineering Group Manager to lead a team focused on Artificial Intelligence (AI) and Machine Learning (ML) solutions for vehicle motion control and estimation. In this role, you will oversee the design, implementation, and optimization of AI/ML-based systems, ensuring they meet rigorous performance, scalability, and reliability standards.

Your day will involve defining system architecture, providing technical guidance, and mentoring engineers to foster a culture of continuous learning. You will partner with control engineers, software developers, calibrators, and business stakeholders to define project requirements and drive successful execution. As a bridge between technical execution and senior leadership, you will communicate project status, risks, and opportunities while managing resource planning and team development. Ultimately, you will model GM's Core Values and Winning Behaviors to promote AI/ML adoption across the organization.

Hiring Process

Applicants in the recruitment process may be required to successfully complete role-related assessments and/or pre-employment screenings prior to beginning employment. For more details on our hiring steps, please visit our "How we Hire" resources.

Equal Opportunity & Culture

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.

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

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, please email us or call us. In your communication, 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.

Work location

Work model: Hybrid

location_on

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_circleCollaborate with cross-functional teams to define project requirements and ensure successful execution
  • check_circleDefine system architecture and design incorporating best practices and industry standards
  • check_circleMonitor project progress, address roadblocks, and implement agile methodologies to improve speed and quality
  • check_circleProvide technical guidance and mentorship to engineers on AI/ML concepts and frameworks
  • check_circleCommunicate project status, risks, and opportunities to senior leadership
  • check_circlePartner with other departments to promote AI/ML adoption across the organization
  • check_circleManage resource planning and team development while fostering a culture of continuous learning

Requirements

  • verifiedBachelor of Science in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Mathematics or related technical degree
  • verifiedMinimum 7 years professional engineering/technical experience
  • verifiedMinimum 5 years engineering experience in AI/ML, control systems, embedded control system, or safety critical system development
  • verifiedValid driver's license and ability to operate test vehicles

Nice to Have

Master of Science in Engineering and/or Master of Business Administration. Master of Science in Electrical, Computer, Mechanical, Mechatronic, Aerospace, Systems or Software Engineering with emphasis in AI/ML, Controls or Robotics. Experience in chassis controls development. Leadership experience developing or applying industry standards. Experience with safety compliance of embedded systems. Leadership of teams of engineers responsible for developing or testing embedded control systems or related hardware in an agile environment. Demonstrated ability to achieve results through effective teamwork, lead numerous projects with different focal areas to successful completion, and manage and measure work through metrics, data, and results. Experience managing a geographically dispersed global team. Familiarity with embedded controls development tools (e.g. IBM Rational Tool Suite, Jira/Jama, Git ecosystem, MATLAB-Simulink, ETAS).

Benefits & Perks

check_circleCompany vehicle evaluation program with assigned GM vehiclecheck_circleEligibility for relocation benefits
General Motors logo
Company

General Motors

Industry

engineering

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

7+ yrs (Lead)

Education

Bachelor of Science degree in Engineering, CS, Math or related technical degree required

Job Type

Full-Time

Skills Required

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Skills, education and keywords

Skills: Artificial Intelligence, Ai, Machine Learning, ML, Control Systems, Embedded Control System, Safety Critical System Development, Deep Learning, Neural Networks, Natural Language Processing.

Education: Bachelor of Science degree in Engineering, CS, Math or related technical degree required; Master of Science in Engineering or MBA 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
Day-to-day, the Engineering Group Manager, AI/ML for Chassis Controls at General Motors will lead the development and deployment of ai/ml technologies for vehicle motion control and estimation; collaborate with cross-functional teams to define project requirements and ensure successful execution; define system architecture and design incorporating best practices and industry standards; and monitor project progress, address roadblocks, and implement agile methodologies to improve speed and quality.
What are the requirements for this Engineering Group Manager, AI/ML for Chassis Controls role?expand_more
General Motors is looking for candidates who meet the following requirements: Bachelor of Science in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Mathematics or related technical degree; Minimum 7 years professional engineering/technical experience; Minimum 5 years engineering experience in AI/ML, control systems, embedded control system, or safety critical system development; and Valid driver's license and ability to operate test vehicles.
Where is the Engineering Group Manager, AI/ML for Chassis Controls role at General Motors located?expand_more
Engineering Group Manager, AI/ML for Chassis Controls at General Motors is based in 622, Villa Street, Mountain View, Santa Clara County, California, 94041, United States. This is a hybrid role.
Is this Engineering Group Manager, AI/ML for Chassis Controls job remote, hybrid, or on-site?expand_more
General Motors has listed this Engineering Group Manager, AI/ML for Chassis Controls role as hybrid.
How much experience is required for this Engineering Group Manager, AI/ML for Chassis Controls role?expand_more
Engineering Group Manager, AI/ML for Chassis Controls at General Motors typically requires 7+ years of relevant experience at the lead level.
What skills do you need for the Engineering Group Manager, AI/ML for Chassis Controls role at General Motors?expand_more
Key skills for Engineering Group Manager, AI/ML for Chassis Controls at General Motors include Artificial Intelligence; Ai; Machine Learning; ML; Control Systems; Embedded Control System; Safety Critical System Development; and Deep Learning.
What education is required for Engineering Group Manager, AI/ML for Chassis Controls at General Motors?expand_more
Educational requirements for this role: Bachelor of Science degree in Engineering, CS, Math or related technical degree required; and Master of Science in Engineering or MBA preferred.
What category does the Engineering Group Manager, AI/ML for Chassis Controls role belong to?expand_more
Engineering Group Manager, AI/ML for Chassis Controls at General Motors is part of the engineering job category on Recrutus.
Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

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Browse jobsCompanies hiringRemote jobsJobs by locationJobs by cityJobs by categoryJobs by skillCareer guidesCareer blogSalary insights
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Jobs in TexasJobs in CaliforniaJobs in New YorkJobs in FloridaJobs in North CarolinaJobs in OhioAll states →
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About usFAQContactPrivacy policy

Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

© 2026 Recrutus. All rights reserved.
Terms of serviceCookie policyAcceptable useDMCA policyEmployer termsCandidate terms
Artificial IntelligenceAiMachine LearningMLControl SystemsEmbedded Control SystemSafety Critical System DevelopmentDeep LearningNeural NetworksNatural Language Processing
US privacy notice
Accessibility