
location_on622, Villa Street, Mountain View, Santa Clara County, California, 94041, United States
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.
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.
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.
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.
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Work model: Hybrid
622, Villa Street, Mountain View, Santa Clara County, California, 94041, United States
Mountain View, California
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).
Booz Allen Hamilton • Honolulu, Hawaii
Mission Technologies, a division of HII • Porter Township, Ohio
Mission Technologies, a division of HII • Coronado, California
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.