General Motors

Vehicle Motion Control AI/ML Platform Design Engineer

General Motors • $90K — $136K *
Markham, ON L3R 0G6In-Person
Manufacturing & Automotive
Less than 5 years of experience
5 days ago
Job Overview by Ladders

Qualifications

  • M.S. or Ph.D. in Controls, Robotics, Mechanical Engineering, or related field.
  • Strong fundamentals in classical and advanced control techniques.
  • Experience in sensor fusion and state estimation methodologies.
  • Practical knowledge of AI/ML frameworks and data analysis using Python.
  • Familiarity with vehicle dynamics simulation tools and embedded software development.

Responsibilities

  • Design and develop advanced algorithms for vehicle motion control systems.
  • Validate control strategies through model-based design and simulation.
  • Integrate and test algorithms in both simulation and vehicle environments.
  • Conduct data collection and feature engineering from various testing methods.
  • Implement AI/ML components in motion control with a focus on safety.
  • Collaborate with teams to deliver technical documentation and reports.
  • Engage in design reviews and contribute to process improvement.

Benefits

  • Paid time off including vacation and holidays.
  • Healthcare, dental, and vision benefits along with wellness incentives.
  • Life insurance options for employees and their families.
  • Defined Contribution Pension plan with company contributions.
  • GM Vehicle Purchase Plan for discounted vehicle purchases.
Full Job Description
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 [or other frequency dictated by the business].

The Role

As a Vehicle Motion Control AI/ML Platform Design Engineer, you will design and implement advanced control, state estimation, and data-driven algorithms for vehicle motion systems, including steering, braking, propulsion, rear steering, active aerodynamics, and integrated chassis functions.

You will work on model-based design, simulation, and AI/ML-enabled algorithm development to create robust, modular, and high-performance motion control solutions. This role is ideal for engineers who want to apply strong controls and estimation fundamentals while growing hands-on experience in machine learning for real-time vehicle systems.

Key Responsibilities
  • Design and implement vehicle motion control, estimation, and AI/ML-enabled algorithms across multiple domains.
  • Apply model-based design, simulation, and data-driven workflows to develop and validate control strategies, learned models, observers, and estimators.
  • Support integration and testing in simulation environments such as CarSim, CarMaker, and Simulink, as well as HIL, SIL, and DiL setups.
  • Contribute to data collection, curation, labeling, feature engineering, and analysis from simulation, proving grounds, and vehicle testing to support training and validation activities.
  • Implement and evaluate AI/ML components in motion control loops with attention to safety, stability, and interpretability.
  • Collaborate with cross-functional teams and deliver technical documentation, reports, and presentations.
  • Participate in design reviews, peer reviews, and continuous improvement of development processes and technical standards.

Required Skills and Experience

Core Expertise Areas

Control Strategy
  • Solid foundation in classical control methods such as PID, state feedback, and observers.
  • Knowledge of advanced control strategies such as adaptive control, model predictive control, learning-based MPC, and ML/AI-based control approaches.

Estimation and Fusion
  • Strong knowledge of state estimation and observer design.
  • Experience with sensor fusion methods, including Kalman filter variations such as EKF, UKF, and particle filters, and understanding of system identification and parameter estimation in dynamic systems.

AI/ML and Data
  • Hands-on experience using Python for data analysis and model development, with exposure to ML frameworks such as PyTorch, TensorFlow, scikit-learn, and NumPy/pandas.
  • Experience or a strong interest in applying machine learning or data-driven modeling to control, estimation, and system dynamics problems.


Simulation, Tools, and Implementation
  • Experience with model-based design and vehicle dynamics simulation tools such as CarSim, CarMaker, or equivalent.
  • Working knowledge of embedded software development in C/C++, MATLAB/Simulink, and code generation for production-oriented development.
  • Familiarity with vehicle communication and measurement tools such as Vehicle SPY, INCA, and CANalyzer.


Additional Requirements
  • M.S. or Ph.D. in Controls, Robotics, Aerospace, Mechanical Engineering, Electrical Engineering, Computer Engineering, Applied Mathematics, or a related field with relevant experience.
  • Strong analytical and problem-solving skills.
  • Demonstrated ability to communicate clearly through technical reports and presentations and to collaborate effectively across teams.
  • Valid driver's license for occasional test support.


Preferred Skills and Experience
  • Experience with reinforcement learning, model-based RL, or data-driven dynamics modeling for real systems.
  • Familiarity with deep learning approaches such as CNNs, RNNs, or transformer-based models for estimation, prediction, or decision-making problems connected to motion control.
  • Awareness of automotive safety concepts relevant to AI/ML-enabled control, including ISO 26262, SOTIF, runtime monitoring, and safe fallback strategies.
  • Experience with requirements and interface definition tools such as DOORS, DNG, or Jama, and familiarity with automotive release and specification processes.
  • Knowledge of related automotive systems such as powertrain, driveline, and CAN/LIN networks, plus exposure to advanced test setups such as dSPACE HiL, DiL, and in-vehicle track testing.


Compensation:
The salary range for this role is $90,900 to $136,400. 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 General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

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Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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