Industrial Engineer: AI-Driven Material Flow & Logistics

Magna-International-6df39721; Highland Park (MI); On-site; USD 90,000 - 130,000; Full time

Job summary

Magna Seating is seeking an Industrial Engineer to design, optimize, and govern material flow across the value stream. You will own Digital PFEP and apply AI, simulation, and Digital Twin tech to create a highly efficient, data-driven material delivery system.

Collaboration with Supply Chain, Manufacturing Engineering, and IT is essential. The role focuses on PFEP governance, AI-powered logistics analytics, and future-state manufacturing logistics within an automotive context.

Qualifications

• :

Responsibilities

• Own PFEP and governance for production/inventory materials.
• Analyze end-to-end material movement and optimize replenishment strategies.
• Develop AI-powered analytics dashboards and predictive models for inventory and logistics.
• Build and use Digital Twin simulations to model material flow and assess changes.

Skills

Digital PFEP

Material Flow Engineering

AI & ML Apps

Simulation Modeling

Digital Twin

Industry 4.0

WMS

ERP Systems

Education

Bachelor's degree in related field

Tools

Power BI

Tableau

SQL

ERP (SAP/Oracle/QAD)

Job description

Magna Seating is seeking an Industrial Engineer to design, optimize, and govern material flow across the value stream. You will own Digital PFEP and apply AI, simulation, and Digital Twin tech to create a highly efficient, data-driven material delivery system.

Collaboration with Supply Chain, Manufacturing Engineering, and IT is essential. The role focuses on PFEP governance, AI-powered logistics analytics, and future-state manufacturing logistics within an automotive context.