General Motors
Engineering Group Manager, AI and Machine Learning
General Motors, Milford, Michigan, United States
Hybrid:
Hybrid:
This means the successful candidate is expected to report to their primary location (Milford, MI) three times per week, at minimum. Relocation:
Relocation:
This job may be eligible for relocation benefits. The Role
Join GM’s
Vehicle Mechatronic Embedded Controls (VMEC)
team within the
Software and Services
organization, where we develop and release control software and calibrations that drive the entire vehicle. From internal combustion engines and hybrid drive units to high-voltage batteries and chassis systems, our mission is to invent cutting-edge methods to control the world’s most advanced mechatronic systems. 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 performance, scalability, and reliability standards. You will also foster a collaborative, agile environment that empowers innovation and growth. 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. As a people leader, you will shape strategic initiatives that align with GM’s transformation from an automaker to a tech-driven company. What You’ll do: 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 to 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 Your Skills & Abilities (Required Qualifications) 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 What Will Give You A Competitive Edge (Preferred Skills) 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) Company Vehicle:
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
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Hybrid:
This means the successful candidate is expected to report to their primary location (Milford, MI) three times per week, at minimum. Relocation:
Relocation:
This job may be eligible for relocation benefits. The Role
Join GM’s
Vehicle Mechatronic Embedded Controls (VMEC)
team within the
Software and Services
organization, where we develop and release control software and calibrations that drive the entire vehicle. From internal combustion engines and hybrid drive units to high-voltage batteries and chassis systems, our mission is to invent cutting-edge methods to control the world’s most advanced mechatronic systems. 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 performance, scalability, and reliability standards. You will also foster a collaborative, agile environment that empowers innovation and growth. 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. As a people leader, you will shape strategic initiatives that align with GM’s transformation from an automaker to a tech-driven company. What You’ll do: 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 to 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 Your Skills & Abilities (Required Qualifications) 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 What Will Give You A Competitive Edge (Preferred Skills) 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) Company Vehicle:
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
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