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Model Predictive Control Jobs in Toronto, ON (NOW HIRING)

Research Engineer, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

Model distillation - Collaborate closely with Research Scientists to translate cutting-edge model ... You have built and deployed generative or predictive models of the physical world, focusing on ...

Research Scientist, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

Model distillation. - Collaborate with engineers to integrate models into large-scale, distributed ... You have built generative or predictive models of the physical world with scale and efficiency in ...

Operationalize traditional ML models and predictive analytics solutions, including classification ... testing, version control, and cloud-native infrastructure. * Monitor production models for ...

The incumbent can be based out of Montreal, QC, Trois-Rivieres, QC, or Burlington, ON. Position ... As a Data Scientist at Cogeco, you will develop predictive modeling and machine learning solutions ...

... control across their growing AI portfolios. AIMS offers comprehensive oversight of predictive and ... You'll embed with their teams, connect to their secure data systems, learn how their AI models and ...

Millwright

North York, ON · On-site

CA$35 - CA$45/hr

... machine control systems as well as other miscellaneous equipment. · Perform predictive ... models. · Troubleshoot and diagnose equipment system faults, ensure adequate control and safety ...

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Model Predictive Control information

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What are the typical challenges faced by engineers working with model predictive control systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a model predictive control engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What does a model predictive control do?

A Model Predictive Control (MPC) engineer designs control systems that use a mathematical model to predict future system behavior and optimize control actions accordingly. MPC is commonly used in industries like process control and robotics, requiring skills in control theory, programming, and system modeling. The role involves developing algorithms, tuning controllers, and ensuring system stability and efficiency.

What job categories do people searching Model Predictive Control jobs in Toronto, ON look for?

The top searched job categories for Model Predictive Control jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Model Predictive Control jobs?

Cities near Toronto, ON with the most Model Predictive Control job openings:

Infographic showing various Model Predictive Control job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Staff Systems Engineering - Chassis Systems

General Motors

Markham, ON • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,298 frontline employees who took The Breakroom Quiz


Job description

Job Description

Vacancy Status:

This posting is for an existing vacancy within the organization and is open to new applications.

AI Disclosure:

As part of the application process, Artificial Intelligence will be used in the hiring process for this role

Work Arrangement: Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum.

The Role

The Staff System Engineering - Chassis Systems provides technical leadership for chassis motion control (braking, steering, suspension, vehicle dynamics) and acts as a domainagnostic architect for GM's virtual integration stack. You will define and evolve endtoend architectures across embedded ECUs and SIL/CoSim environments, creating reusable patterns, integrating services and models, and ensuring highquality execution across programs and domains.

What You'll Do (Responsibilities)

  • Lead endtoend architecture for chassis motion control systems across embedded and virtual platforms, including interfaces and ownership boundaries between domain ECUs, infra vECUs, and plant models.

  • Define reusable, domainagnostic SIL/CoSim architecture patterns and infrastructure services, orchestrating plant models, behavioral ECUs, infra vECUs, activation flows, diagnostics, and supplier assets into cohesive, testable systems.

  • Own SnA and systemphysics plantmodel infrastructure for L3 CoSim; integrate models into CI/CD (packaging, versioning, automated checks) and drive standardization for reuse across domains.

  • Own service/profile activation infrastructure and infra vECUs for SDV services across domains; ensure NPCR and activation flows work reliably in CoSim/SOLE and are supported by tools and pipelines for current and future programs.

  • Own integration of supplier assets (FMUs, vECUs, C11 libraries, AUTOSAR components) into CoSim and controllers; define requirements/checklists, align interfaces with RestBus/ICDe/GMBSW, and establish minimal acceptance tests and CI/CD integration patterns.

  • Improve CoSim, SIL/HIL, and embedded development processes (requirements, traceability, quality gates) and lead adoption of architectural patterns, modeling guidelines, and release processes for virtual assets.

  • Provide technical leadership and mentorship; drive crossfunctional roadmaps and alignment with CoSim Architecture, Package/Variant, Pipeline & Execution, Diagnostics/NVM, calibration, DREs, suppliers, and program teams.

  • Support program execution for chassis systems in CoSim/SIL/HIL and invehicle; apply advanced control, optimization, and modeling methods and contribute to IP through novel architectures and solutions.

Your Skills & Abilities (Required Qualifications)

  • 10+ years in control systems/software development and/or technical leadership, with strong emphasis on chassis and vehicle dynamics controls.

  • Indepth knowledge of chassis control and vehicle dynamics (braking, steering, suspension, stability) and calibration to meet objective and subjective performance targets.

  • Strong control systems background applied to embedded systems (e.g., state feedback, adaptive, model predictive control).

  • Productiongrade embedded software experience using C/C++ and modelbased development (MATLAB/Simulink, code generation) to GM standards.

  • Solid understanding of AUTOSAR (Classic/Adaptive), ECU layering, and GMBSW integration patterns.

  • Strong experience with CoSim/SIL/HIL and vECU design/integration (e.g., dSPACE VEOS, ETAS vECUBuilder), plus plant modeling (Simulink/Modelica or equivalent) and CI/CD practices.

  • Strong understanding of SDV service activation concepts, NPCR, and infra vECU responsibilities in CoSim/SOLE.

  • Handson experience with FMUs/FMI and supplier asset integration, including C11/C++ libraries, Ethernet/osa integration, and VeSCoM/SDV cadence and program gates.

  • Experience with vehicle dynamics modeling/simulation tools (e.g., CarSim) and vehicle communication/measurement tools (e.g., Vehicle SPY, INCA, CANalyzer).

  • Strong analytical and problemsolving skills; proactive, resultsdriven, able to work independently and in global, crossfunctional teams, with excellent written and verbal communication.

  • Ability to travel as needed to test sites and partner locations (e.g., Michigan and other global sites).

What Can Give You A Competitive Edge (Preferred Qualifications)

  • M.Sc. or Ph.D. in Control Systems, Electrical/Mechanical Engineering, Computer Engineering, or a related field.

  • Experience with advanced statistics, signal processing, optimization, system identification, and state estimation for vehicle/chassis systems.

  • Experience with automotive product release/specification processes and integrating virtual assets (FMUs, vECUs) with program gates.

  • Demonstrated leadership in defining virtual integration strategies (plant models, activation, vECUs, supplier assets), architectural guidelines, and playbooks across domains and teams; strong presentation and influence skills at staff/architect level.

Compensation:

The salary range for this role is $137,300 to $203,000. 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 WILLNEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.

Benefits Overview

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;

  • 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 and your family

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, visit How 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, email us 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.


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About General Motors

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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908