Industrial Engineer

Magna International•Oakland Park, HI

About The Position

The Industrial Engineer is responsible for designing, optimizing, and governing material flow throughout the entire value stream, from the supply base through manufacturing and ultimately to the operator workstation. This role owns the Digital Plan for Every Part (PFEP), leveraging advanced analytics, artificial intelligence (AI), simulation modeling, and Factory of the Future technologies to create a highly efficient, data-driven material delivery system. The position serves as the strategic leader for material conveyance, inventory optimization, automation integration, and future-state manufacturing logistics.

Requirements

Bachelor's degree in Supply Chain, Industrial Engineering, Manufacturing Engineering, Logistics, Operations Management, Data Analytics, or related field; or an equivalent combination of education and experience preferred.
5+ years in manufacturing logistics, material flow, industrial engineering, supply chain, or automation.
Experience managing PFEP systems.
Experience with automation technologies including AMRs, AGVs, ASRS, and smart manufacturing systems.
Experience with simulation software and analytical tools.
Digital PFEP Development
Material Flow Engineering
AI & Machine Learning Applications
Simulation Modeling
Digital Twin Technology
Industry 4.0 Systems
Warehouse Management Systems
ERP Systems (SAP, Oracle, QAD)
Power BI, Tableau, SQL
Lean Manufacturing
Value Stream Mapping

Nice To Haves

Experience within automotive, aerospace, or advanced manufacturing environments preferred.

Responsibilities

Develop, maintain, and govern a comprehensive Digital PFEP database for all production and indirect materials.
Ensure accurate part attributes including dimensions, packaging, consumption rates, storage locations, transportation methods, and delivery frequencies.
Establish data governance standards to maintain PFEP accuracy and integrity.
Collaborate with Supply Chain, Manufacturing Engineering, Launch, Purchasing, and Operations teams to ensure alignment.
Drive PFEP integration with ERP, MES, WMS, and automated material handling systems.
Analyze end-to-end material movement from supplier docks through production consumption.
Develop optimal replenishment strategies including JIT, sequenced delivery, line-side presentation, and supermarket systems.
Establish standardized material presentation methods to improve ergonomics and productivity.
Reduce touches, travel distance, inventory levels, and material handling waste.
Lead Value Stream Mapping and Material Flow Mapping initiatives.
Utilize AI tools to analyze material consumption patterns and logistics performance.
Develop predictive models for inventory shortages, line disruptions, container utilization, and supplier performance.
Use machine learning algorithms to identify inefficiencies and optimization opportunities.
Create automated dashboards and decision-support tools for operations teams.
Partner with Digital Manufacturing and IT teams on AI roadmap development.
Build simulation models of material movement using Digital Twin technologies.
Model AMR routes, tugger paths, supermarket sizing, storage requirements, and conveyance systems.
Simulate production changes, volume increases, labor reductions, and automation investments.
Evaluate scenarios for new product launches and facility expansions.
Use simulation outputs to support capital expenditure decisions and ROI analysis.
Develop strategies for AMRs, AGVs, ASRS, automated conveyors, smart carts, autonomous forklifts, and future logistics technologies.
Evaluate automation opportunities that improve safety, quality, and productivity.
Support implementation of automated replenishment and material tracking systems.
Ensure integration between physical automation systems and digital planning tools.
Drive standardization of automated logistics processes across the facility.
Research emerging technologies and evaluate applicability within manufacturing operations.
Develop multi-year roadmaps for logistics automation and Industry 4.0 implementation.
Identify opportunities for real-time data collection and autonomous decision-making systems.
Integrate IoT, AI, Digital Twins, and predictive analytics into daily operations.
Establish future-state material handling standards to support increasing automation.
Determine optimal inventory levels throughout the production process.
Establish storage strategies for supermarkets, warehouses, ASRS systems, and point-of-use locations.
Analyze container density, rack utilization, and warehouse capacities.
Support supply chain risk mitigation planning.
Drive inventory reduction initiatives while maintaining delivery performance.
Lead material flow improvements for new product launches and plant expansions.
Support manufacturing engineering, operations, maintenance, and supply chain teams.
Present business cases and recommendations to leadership teams.
Drive continuous improvement initiatives utilizing Lean Manufacturing principles.
Manage logistics-related capital and continuous improvement projects.