General Motors · 9 hours ago
Engineering Group Manager, AI and Machine Learning
Milford, MI
Full-time
Hybrid
Director/Executive
7+ years expGeneral Motors is 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. The role involves overseeing the design, implementation, and optimization of AI/ML-based systems while fostering a collaborative environment that promotes innovation and growth.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
Responsibilities
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
Qualification
Required
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
Preferred
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
Relocation benefits
Company vehicle evaluation program
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
10001+ employees
H1B Sponsorship
General Motors has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (787)
2024 (740)
2023 (450)
2022 (795)
2021 (748)
2020 (452)
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
2026-01-24
Company data provided by crunchbase