Senior Vehicle Motion Control AI/ML Platform Design Engineer

Job Description

Vacancy Status:
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 Elevation Center three times per week, at minimum.

Why Work for Us

There has never been a more exciting time to work at General Motors. We are pursuing a bold vision of Zero Crashes, Zero Emissions, and Zero Congestion while building inclusive, collaborative, and technology-forward teams.

The Role

We are seeking a Senior Vehicle Motion Control AI/ML Platform Design Engineer to join our Vehicle Motion Control platform team. This role is pivotal in shaping scalable, modular, and reusable motion control software and hybrid model-based / data-driven architectures for future vehicle platforms.

The successful candidate will design and implement advanced vehicle motion control, state estimation, and AI/ML-enabled solutions across propulsion, braking, steering, rear steering, active aerodynamics, and integrated vehicle dynamics. This position requires a strong blend of vehicle dynamics expertise, advanced controls and estimation knowledge, practical validation experience, and production software implementation.

Key Responsibilities

• Lead development of scalable, modular control and estimation strategies and software architectures for AI/ML-enabled vehicle motion control platforms.
• Design and implement advanced control algorithms, including state-space control, observers, estimators, optimal or robust control, model predictive control, and learning-enabled control approaches.
• Integrate AI/ML components such as learned models, estimators, and policies into real-time control loops while maintaining safety, stability, and interpretability.
• Drive end-to-end development and validation through model-based design, simulation, HIL, SIL, DiL, and in-vehicle testing and calibration.
• Lead high-value AI/ML applications in motion control and state estimation, including data-driven modeling, prediction, and learning-based estimation workflows.
• Define and improve data workflows for collection, curation, labeling, feature engineering, and validation using simulation, proving ground, and vehicle data.
• Contribute to process improvement, peer reviews, technical direction, and mentorship of other engineers.
• Create innovative technical solutions and help protect GM intellectual property through patents and publications.

Required Skills and Experience
Core Expertise Areas:

Vehicle Dynamics

• Deep theoretical and practical knowledge of chassis and vehicle dynamics, with the ability to connect system-level behavior to control and estimation solutions.

Control Strategy

• Proficiency in classical control methods such as PID, state feedback, and observers.
• Extensive experience with advanced control strategies, including adaptive control, MPC, learning-based MPC, ML/AI-based control strategies, and other modern control methods.

Estimation and Fusion

• Strong expertise in advanced state estimation, observer design, and sensor fusion for vehicle motion states.
• Hands-on experience with Kalman filter variants and with system identification and parameter estimation in vehicle dynamics applications.

AI/ML, Data, and Productionization

• Demonstrated experience using Python for data analysis and applying machine learning or data-driven modeling to control, estimation, or vehicle dynamics problems.
• Ability to translate control, estimation, and learned components into robust, production-quality embedded software using C/C++, MATLAB/Simulink, and code generation workflows.
• Experience with vehicle dynamics simulation tools such as CarSim, CarMaker, or equivalent, and with MIL/SIL/HIL/DiL validation workflows.
• Proficiency with vehicle communication and development tools such as Vehicle SPY, INCA, and CANalyzer.

Additional Requirements

• M.S. with 5+ years or Ph.D. with 3+ years of experience in control systems development and/or technical leadership in vehicle controls or related dynamic systems.
• Strong analytical and problem-solving skills for novel and complex challenges.
• Demonstrated ability to deliver clear technical reports and presentations to cross-functional stakeholders and to collaborate effectively across disciplines and locations.
• Valid driver’s license.
• Availability for approximately 4 weeks per year of travel, including winter testing and other validation activities.

Preferred Skills and Experience

• Deep applied experience in AI/ML for control, estimation, robotics, or dynamical systems, including data-driven dynamics modeling and learning-based controllers for real systems.
• Experience with ML-based estimation or prediction for driver intent, road conditions, or environment-aware motion control.
• Familiarity with deep learning architectures such as CNNs, RNNs, and transformer-based models for perception, estimation, or decision support tied to motion control.
• Familiarity with automotive AI safety practices, including ISO 26262, SOTIF, runtime monitoring, confidence measures, and safe fallback strategies.
• Experience with modern ML engineering or MLOps practices, requirements tools such as DOORS/DNG/Jama, and automotive product release and specification processes.
• Knowledge of related automotive systems such as powertrain, driveline, and CAN/LIN networks, plus advanced test setups and in-vehicle track testing.
  

Compensation:

The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Benefits:

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 GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-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.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visitHow we Hire.

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, emailus 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.