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Engineering Group Manager, AI/ML for Chassis Controls

at General Motors

General MotorsMarkham, Ontario, CanadaHybridPosted 2026-06-03
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Job description

Job DescriptionNo: This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)AI Disclosure: As part of the application process, Artificial Intelligence will be used in the hiring process for this role.Hybrid - This role is categorized as hybrid. This means the successful candidate is expected to report to Markham three times per week, at minimum [or other frequency dictated by the business].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.Job 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 BehaviorsAdditional Job Description:Required Qualifications:Bachelor of Science degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Mathematics or a related technical degreeMinimum of 7 years of professional engineering/technical experienceMinimum of 5 years of engineering experience related to AI/ML, control systems, embedded control system, and/or safety critical system developmentStrong 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.Proven track record of successful project executionExcellent multi-functional communication and leadership skills - able to get multiple teams moving in the same directionDemonstrated ability to deal with ambiguity while driving timely decision makingPossess a valid driver’s license and the ability to operate test vehiclesPreferred Qualifications:Master of Science in Engineering and/or Master of Business AdministrationMaster of Science in Electrical, Computer, Mechanical, Mechatronic, Aerospace, Systems or Software Engineering with emphasis in AI/ML, Controls or RoboticsExperience in chassis controls developmentDemonstrated technical background in chassis controls and/or vehicle dynamicsLeadership experience developing or applying industry standardsExperience with safety compliance of embedded systemsLeadership of teams of engineers responsible for developing or testing embedded control systems or related hardware in an agile environmentDemonstrated 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 resultsExperience managing a geographically dispersed global teamFamiliarity with embedded controls development tools (e.g. IBM Rational Tool Suite, Jira/Jama, Git ecosystem, MATLAB-Simulink, ETAS)Compensation:      The salary range for this role is $147,000 to $196,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTUREBenefits:The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:Paid 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. About GMOur vis
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