Modeling Simulation Engineer Jobs in Ontario (NOW HIRING)

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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

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.

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.

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