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Modeling And Simulation Engineer Jobs in Ontario

Magna

Simulation Engineer

Brampton, ON · On-site

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 ...

Nokia

Hardware Electro-Optics Engineer

Kanata, ON

Optical system simulation and modeling * Oscilloscopes, Bit Error Rate Testers (BERT), Optical ... Work closely with manufacturing and product engineering teams to support product qualification and ...

Morson Talent

Simulator Support - Modelling

Tiverton, ON · On-site

$40 - $50/hr

In general, design, implement, document and test changes to the existing Simulator modeling ... Consultant personnel will execute their duties using best practice simulator engineering techniques ...

Palona AI

AI Modeling Engineer

Toronto, ON · On-site

Create and maintain representative datasets from simulations, human annotation, production feedback ... engineers. * Ability to connect modeling choices to product constraints including latency, cost ...

Palona AI

AI Modeling Engineer

Toronto, ON · On-site

Create and maintain representative datasets from simulations, human annotation, production feedback ... engineers. * Ability to connect modeling choices to product constraints including latency, cost ...

Pattern Energy Group LP

Energy Systems Modeler

Toronto, ON · On-site

CA$86K - CA$108K/yr

Execute model simulations using the WIS:dom suite of tools. Provide output analysis of these ... Excellent programming skills in languages commonly used for energy modeling (e.g., Python, GAMS ...

SOCOMEC

Power Electronics Design Engineer

Brampton, ON · On-site

CA$100K - CA$120K/yr

Develop and implement simulation models using tools such as MATLAB/Simulink, PSpice, PSCAD, PSIM ... Bachelor's degree in Electrical Engineering, Power Electronics, or a related field. A master ...

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Modeling And Simulation Engineer information

What is a modeling and simulation engineer?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

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

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

What are some common challenges a modeling and simulation engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

Are modeling and simulation engineers in demand?

Modeling and simulation engineers are in high demand across industries such as aerospace, defense, automotive, and healthcare due to their expertise in developing complex models and simulations. The role often requires proficiency in programming, simulation software, and systems analysis, with job growth driven by technological advancements and increased reliance on virtual testing and training tools.

How to become a modeling and simulation engineer?

To become a modeling and simulation engineer, typically a bachelor's degree in engineering, computer science, or a related field is required, often complemented by experience with simulation software, programming languages, and systems modeling. Advanced roles may require a master's degree or higher, along with skills in data analysis, systems engineering, and familiarity with tools like MATLAB, Simulink, or C++. Certifications in systems modeling or simulation can enhance job prospects.

What are popular job titles related to Modeling And Simulation Engineer jobs in Ontario?

For Modeling And Simulation Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Modeling And Simulation Engineer jobs in Ontario look for?

The top searched job categories for Modeling And Simulation Engineer jobs in Ontario are:

Modeling And Simulation Engineer jobs near you
Infographic showing various Modeling And Simulation Engineer job openings in Ontario as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% 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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