General Motors

Senior Vehicle Motion Control AI/ML Platform Design Engineer

General Motors • $115K — $164K *
Markham, ON L3R 0G6In-Person
Manufacturing & Automotive
Less than 5 years of experience
1 week ago
Job Overview by Ladders

Qualifications

  • M.S. with 5+ years or Ph.D. with 3+ years in control systems or related dynamic systems.
  • Deep knowledge of vehicle dynamics connecting system-level behavior to control solutions.
  • Proficiency in classical control methods like PID and advanced strategies such as adaptive control and MPC.
  • Expertise in advanced state estimation and sensor fusion for vehicle motion.
  • Experience in Python for data analysis and creating production-quality embedded software in C/C++.

Responsibilities

  • Lead development of motion control software architectures for AI/ML platforms.
  • Design and implement advanced control algorithms, including state-space control and model predictive control.
  • Integrate AI/ML components into real-time vehicle control systems.
  • Drive simulation, testing, and validation processes for motion control.
  • Define and improve data workflows for vehicle data curation and validation.
  • Mentor other engineers while contributing to process improvements and peer reviews.
  • Create innovative technical solutions and contribute to patent and publication efforts.

Benefits

  • Paid time off including vacation, holidays, and family leave.
  • Comprehensive healthcare, dental, and vision coverage with wellness incentives.
  • Life insurance plans for you and your family.
  • Company contributions to a Defined Contribution Pension plan for retirement savings.
  • GM Vehicle Purchase Plan available for family and friends.
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.

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 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.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

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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