Engineering Group Manager, AI/ML for Chassis Controls
$147,000–$196,600 year
Hybrid · Markham, Ontario, Canada
Job Summary
Engineering Group Manager leading AI/ML initiatives for vehicle motion control and estimation within GM’s VMEC team. Responsible for design, implementation, and optimization of AI/ML-based systems, mentoring engineers, guiding cross-functional collaboration with embedded controls, systems, product, and program teams, and promoting agile practices to deliver robust, scalable solutions for vehicle dynamics and safety. Requires a Bachelor’s degree (or higher) in a related technical field, 7+ years engineering experience (5+ in AI/ML, control systems, embedded control systems, or safety-critical domains), strong programming (Python/Java/C++), experience with ML libraries, hands-on leadership, and the ability to operate in a hybrid Markham, Ontario setting with regular on-site presence. Preferred qualifications include advanced degrees and broader chassis-controls/robotics background, plus experience with safety standards and distributed/global teams.
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.
- 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
- 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
Desired 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 programming languages such as Python, Java, C++, etc.
- Excellent multi-functional communication and leadership skills
- Demonstrated ability to deal with ambiguity while driving timely decision making
- Possess a valid driver’s license and the ability to operate test vehicles
- 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
Additional Requirements
- GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY IF SPONSORSHIP IS NEEDED
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