Job descriptions may display in multiple languages based 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:
Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.
Job Responsibilities:
Additional Job Description
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.
Qualifications
Bachelor’s Degree – Manufacturing Engineering or equivalent.
• 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 with 2D CAD
• 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)
• Strong presentation and communication skills
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
• Troubleshooting complex situations involving multiple variables and conditions 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
• Making technical assumptions and offering alternative approaches within a framework of customary practices 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
• Building clear, actionable reports with minimum supervision
• Managing project data and meta-data, including procurement, logging, and dealing with unclear/incomplete information with minimum supervision
• Mitigating errors or mistakes as soon as identified with minimum supervision
• Decision-making on project time and scope, provided no engineering changes are necessary, with minimum supervision
• Observing work related timelines, scope, and quality requirements with minimum supervision
• Following operational procedures, work-standards, and divisional guidelines with minimum supervision
• Requesting timely and appropriate support from team-members and superiors when necessary
• Developing modeling libraries
• Providing support or instruction to co-workers
• Supporting hiring panels, interviews, related to the role
• Supporting other divisional activities and tasks
Travel Requirements
• Travel globally, subject to business needs: up to 30% 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:
Magna Electronics
