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What we offer:

Group Summary:

Specific Job Duties:

· Develop digital twins of new equipment and manufacturing processes, enabling early validation of cycle times, process flows, machine behavior, ergonomics, and throughput before physical design or build begins.

· Create and maintain full-facility digital twins for:

o Norplas – including molding, paint, assembly, material flow, and automation systems

o MEHP (Highland Park) – assembly operations, buffer zones, staffing models, and equipment interactions

o MEBT (Brownstown) – assembly flow, workstation performance, and automation integration These models will support continuous improvement, capital planning, and real-time scenario evaluation.

· Perform automated material flow studies, using simulation tools to assess part movement, buffer sizing, WIP levels, AGV or conveyor routing, operator travel, and material presentation strategies.

· Validate machine and process concepts during quoting and early design, providing cycle time modeling, utilization analysis, bottleneck detection, and performance projections to support accurate ROI and staffing estimates.

· Collaborate with the Industrial Engineer to evaluate workflow efficiency, equipment capacity, labor requirements, and station balancing using simulation-driven insights.

· Support the Equipment Project Engineer by simulating equipment designs and layouts to identify risks, confirm design feasibility, and ensure equipment will meet production throughput requirements.

· Model automation and OT system interactions, including PLC/HMI sequencing, robot timing, safety interlock behavior, and MES data exchange to identify integration risks prior to commissioning.

· Conduct “what-if” scenario modeling to evaluate changes in volume, shift structure, staffing, equipment capability, or material flow, providing data-driven recommendations for operational decision-making.

· Analyze potential failure modes in equipment and processes, using simulation outputs to support PFMEA development and to identify mitigation strategies for mechanical, controls, or material flow risks.

· Optimize plant layouts and workcell configurations, using digital twins to assess visibility, safety clearances, ergonomic posture evaluation, operator reach, and maintenance access requirements.

· Assist with Factory Acceptance Tests (FAT) and Site Acceptance Tests (SAT) by validating simulation accuracy against real machine performance, identifying discrepancies, and recommending process tuning.

· Develop reusable simulation templates and standards, establishing best practices for modeling equipment, robots, conveyors, operators, and material flow to support consistent simulation capability across all facilities.

· Provide regular reporting and visual outputs, including throughput charts, heat maps, animation videos, bottleneck analysis, and cycle time comparison dashboards for leadership and project teams.

Educational Requirements

· A bachelor degree in an Engineering Science or Technology area.

· Exposure to DFMA, synchronous manufacturing, and ergonomics.

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Related Work Experience:

· Previous experience in a manufacturing environment.

· Proficient computer skills a must (Word, Excel, Project, AutoCAD)

· Proficient computer skills a Bonus (FlexSim, Visual Components)

· Proficient automation skills a Bonus (PLC, Robotic, Machine Design)

· Demonstrated ability to work with a minimal supervision and participate as a team player.

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.