Role OverviewOpen to new applications, the successful candidate will be a hybrid employee reporting to Markham at least three times per week. The role is within GM’s Vehicle Mechatronic Embedded Controls (VMEC) team in 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. The mission is to invent cutting‑edge methods to control the world’s most advanced mechatronic systems.We are seeking a agile 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 manager will oversee design, implementation and optimization of AI/ML‑based systems, ensuring they meet performance, scalability and reliability standards. The position fosters a collaborative, agile environment that empowers innovation and growth. The 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 the transition to an all‑electric future.ResponsibilitiesLead 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 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 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.Required QualificationsBachelor 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 programming languages such as Python, Java, C++ etc.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 QualificationsMaster 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.Demonstrated technical background in chassis controls and/or vehicle dynamics.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).CompensationThe salary range for this role is $147,000 to $196,600. The actual base salary offered will vary based on factors relevant to the position. GM does not provide immigration‑related sponsorship for this role. Do not apply if you will need GM immigration sponsorship now or in the future.BenefitsPaid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.Healthcare, dental and vision benefits including health care spending account and wellness incentive.Life insurance plans to cover you and your family.Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.GM Vehicle Purchase Plan for you, your family and friends.EEO and AccommodationsNon‑Discrimination and Equal Employment Opportunities: 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.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, email or call us at 1‑800‑865‑7580. In your email, 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.#J-18808-Ljbffr

📌 Engineering Group Manager, Ai/Ml For Chassis Controls - $147,000 - $196,600 A Year (Winnipeg)
🏢 GM
📍 Winnipeg