ZipRecruiter

Log In

1

Discrete Event Simulation Jobs in Ontario (NOW HIRING)

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 ...

All JobsDiscrete Event Simulation JobsDiscrete Event Simulation Jobs in Ontario

Discrete Event Simulation information

See Ontario salary details

$20K

$86.6K

$163K

How much do discrete event simulation jobs pay per year?

As of Sep 8, 2026, the average yearly pay for discrete event simulation in Ontario is $86,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $123,000.00 per year, depending on experience, location, and employer.

What is a discrete event simulation?

A Discrete Event Simulation (DES) job involves developing models to simulate complex systems where changes occur at distinct points in time. Professionals in this role use specialized software and mathematical modeling to analyze processes in areas like manufacturing, logistics, healthcare, and defense. Their goal is to identify inefficiencies, optimize performance, and support decision-making by predicting system behaviors under various conditions. The job typically requires expertise in programming, statistics, and system dynamics.

What are the key skills and qualifications needed to thrive in discrete event simulation?

To excel in Discrete Event Simulation, candidates typically need a strong background in mathematics, statistics, computer science, and a relevant degree such as industrial engineering or operations research. Familiarity with simulation software like Arena, Simul8, or AnyLogic—as well as programming skills in languages such as Python or C++—is often required, and certifications in simulation or data analytics are advantageous. Strong analytical thinking, effective communication, and attention to detail are valuable soft skills in this field. These competencies enable professionals to develop accurate simulation models, interpret complex data, and effectively communicate findings to stakeholders, ensuring impactful decision support.

What are the common challenges faced by professionals working in discrete event simulation?

One of the most common challenges in Discrete Event Simulation roles is accurately modeling complex real-world systems while balancing model detail and computational efficiency. Professionals often need to collect, validate, and process large datasets, requiring both technical acumen and critical thinking. Additionally, communicating simulation results and recommendations to non-technical stakeholders can be demanding but is crucial for implementing process improvements. Collaborative work with cross-functional teams, such as engineers and managers, is common, making strong teamwork and adaptability important assets in this role.

What are popular job titles related to Discrete Event Simulation jobs in Ontario?

For Discrete Event Simulation jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Discrete Event Simulation jobs in Ontario look for?

The top searched job categories for Discrete Event Simulation jobs in Ontario are:

Discrete Event Simulation jobs near you
Infographic showing various Discrete Event Simulation job openings in Ontario as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 100% In-person job distribution, with an average salary of $86,575 per year, or $41.6 per hour.

Simulation Engineer

Magna

Brampton, ON • On-site

Full-time

Posted 25 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

Apply