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Model Based Simulation Engineer Jobs in Toronto, ON

Magna

Simulation Engineer

Brampton, ON · On-site

The Simulation Engineer is knowledgeable about Discrete-Event/Agent-Based Simulation modeling and analysis, automotive production environment, materials management, and statistical analysis. The ...

Waabi

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

... engineers to invent the next generation of models and algorithms that power Waabi World. Your work ... Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the ...

Waabi

Research Engineer, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

... controllable simulation * Model distillation * Collaborate closely with Research Scientists to ... Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the ...

SOCOMEC

Power Electronics Design Engineer

Brampton, ON · On-site

CA$100K - CA$120K/yr

Socomec Group (Socomec) is a global leader in electrical equipment engineering and manufacturing ... Demonstrated experience using COMSOL for physics-based modeling and simulation of power electronic ...

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Model Based Simulation Engineer information

What is a model based simulation engineer?

A Model Based Simulation Engineer is a professional who uses computer-based models to simulate and analyze the behavior of systems, such as mechanical, electrical, or software systems. They develop and validate these models to predict how complex systems will perform under various conditions, which helps in design, testing, and optimization. This role often involves working with simulation software, collaborating with multidisciplinary teams, and interpreting simulation data to support engineering decisions. Model Based Simulation Engineers are crucial in industries like automotive, aerospace, and manufacturing, where accurate system modeling can save time and reduce costs.

What are the key skills and qualifications needed to thrive as a model based simulation engineer?

To thrive as a Model Based Simulation Engineer, you need a strong background in engineering principles, mathematics, and experience with model-based design, typically supported by a relevant engineering degree. Proficiency with simulation tools such as MATLAB/Simulink, Stateflow, and familiarity with control systems or embedded software is essential, along with knowledge of industry standards like ISO 26262 in automotive roles. Strong problem-solving, attention to detail, and effective communication skills help you interpret requirements and collaborate with multidisciplinary teams. These skills ensure accurate system modeling, efficient development cycles, and effective integration of complex engineering solutions.

How does a model based simulation engineer typically collaborate with cross-functional teams during a project?

Model Based Simulation Engineers often work closely with design, software, and testing teams throughout the product development lifecycle. They translate system requirements into simulation models and share insights with other engineers to optimize performance and identify potential issues early. Regular meetings, iterative feedback, and collaborative model reviews are common, ensuring that the simulation results align with real-world requirements and project goals. This collaborative approach helps streamline development and improves overall system quality.

What is the difference between Model Based Simulation Engineer vs Systems Engineer?

AspectModel Based Simulation EngineerSystems Engineer
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related field; certifications in simulation toolsBachelor's or Master's in Engineering, Systems Engineering, or related field; certifications in systems analysis
Work EnvironmentDesigning and developing simulation models, testing scenarios, using simulation softwareAnalyzing system requirements, integrating components, coordinating across engineering teams
Industry UsageAerospace, automotive, defense, and manufacturing sectorsDefense, aerospace, IT, and complex system development sectors

The Model Based Simulation Engineer focuses on creating and validating simulation models to predict system behavior, while the Systems Engineer manages overall system design, integration, and requirements. Both roles often collaborate but serve different functions within engineering projects.

What cities near Toronto, ON are hiring for Model Based Simulation Engineer jobs?

Cities near Toronto, ON with the most Model Based Simulation Engineer job openings:

Infographic showing various Model Based Simulation Engineer job openings in Toronto, ON as of June 2026, with employment types broken down into 41% Full Time, 40% Part Time, 2% Temporary, and 17% Contract. Highlights an 89% Physical, 5% Hybrid, and 6% Remote job distribution.

Simulation Engineer

Brampton, ON • On-site

Magna
Investment Clubs and Venture Capital Companies • 11 - 50 employees
Learn more about Magnaexternal

Full-time

Posted 26 days ago

Key responsibilities

  • Build static and dynamic simulation models to analyze and improve manufacturing processes.

  • Validate, analyze, and interpret process data to identify bottlenecks, optimize layouts, and enhance throughput.

  • Interact with stakeholders to collect, validate, and analyze process data, and make data-driven recommendations.

Job description

Job descriptions may display in multiple languagesbased on your language selection.

What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Cosma provides a comprehensive range of body, chassis and engineering solutions to global customers. Through our robust product engineering, outstanding tooling capabilities and diverse process expertise, we continue to bring lightweight and innovative products to market.

Job Responsibilities:

Job Summary

The role of Simulation Engineer combines knowledge about production, material management, data analysis, and process modeling. It is focused on creating static and dynamic simulation models to increase throughput, efficiency, and estimate adequate resource requirements to Magna production plants. The Simulation Engineer is knowledgeable about Discrete-Event/Agent-Based Simulation modeling and analysis, automotive production environment, materials management, and statistical analysis. The Simulation Engineer is capable of developing projects of moderate complexity with minimum supervision while keeping divisional quality, time, and customer satisfaction standards.

Position is currently vacant.

Salary: CAD$ 75,000.00 - CAD$ 90,000.00 according to experience and knowledge.

Qualifications

Education Required: Bachelor's Degree - Manufacturing Engineering or equivalent.

Education Preferred: Master's Degree

Years of Experience: 3 to 5 years

Required:

  • Strong knowledge and practical experience with SIMIO and SIEMENS.
  • Strong knowledge and practical experience in Manufacturing Operation Patterns
  • Strong knowledge and practical experience in estimating production volumes and efficiencies
  • Strong knowledge and practical experience with Operational Equipment Efficiency (OEE) concepts
  • Strong knowledge and practical experience with statistical analyses (descriptive, inferential)
  • Strong knowledge and practical experience in material lineside presentation
  • Strong knowledge and practical experience in under-the-roof materials flow, conveyance systems
  • Strong knowledge and practical experience with automotive assembly processes
  • Strong knowledge and practical experience in MS Excel, Macro development (VBA, C#)
  • Strong knowledge and practical experience in MySQL or similar
  • Strong knowledge and practical experience in Python
  • Strong knowledge and practical experience with Design of Experiments (DOE)
  • English language (fluent speaking/writing/reading)

Essential Duties

  • Validating and analyzing production processes with minimum supervision
  • Building Static and Dynamic Simulation models with focus on throughput improvement, de-bottlenecking, buffer optimization, process improvement with minimum supervision
  • Building Static and Dynamic Simulation models with focus on under-the-roof material flow, fleet estimation, congestion analysis, layout optimization with minimum supervision
  • Building process charts to represent man-machine/process sequences (Cycle Time Charts - CTCs) with minimum supervision
  • Conducting statistical analysis of Key Performance Indicators (KPIs) with minimum supervision
  • Building and analyzing what-if scenarios with focus in KPI improvement with minimum supervision
  • Interacting with stakeholders from the organization and customer divisions to collect, validate and analyze process data with minimum supervision
  • Collecting data (on-site/off-site) to build, calibrate and validate models with minimum supervision
  • Making data-driven recommendations related to cost-benefit matters regarding scenarios analyzed
  • Managing project data and meta-data, including procurement, logging, and dealing with unclear/incomplete information with minimum supervision
  • Decision-making on project time and scope, provided no engineering changes are necessary, with minimum supervision

Travel Requirements

  • Travel globally, subject to business needs: up to 25% of work hours
Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.


AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.


Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.


Worker Type:

Regular / Permanent

Group:

Cosma International

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