The Industrial Engineer drives operational excellence across manufacturing operations through capacity planning, production analytics, process optimization, and continuous improvement to improve throughput and resource utilization.
Responsibilities
Develop and maintain workforce planning models across all production areas, including direct labor, indirect labor, and support functions.
Create and continuously improve capacity models for production lines and critical work centers to support customer demand, production goals, and business growth.
Analyze throughput, cycle time, and production performance data to identify bottlenecks, capacity constraints, and opportunities for operational improvement.
Partner with Production, Operations, and Supply Chain teams to optimize workflows, improve resource utilization, and increase manufacturing efficiency.
Monitor, analyze, and report labor productivity, efficiency, and utilization metrics by department, work center, and shift.
Supports design, development, implementation, and continuous improvement of automation systems for JIT and JIS operations in automotive seat production.
Responsibilities
Design and implement automation systems for JIT and JIS operations
Support integration of robotics, vision systems, material handling equipment, and automated feeding systems
Participate in equipment upgrades, process improvements, and new equipment installations
Support PLC, HMI, robot, and vision system development and troubleshooting
Assist with commissioning, testing, and startup of automated equipment
Requirements
Bachelor's Degree in Engineering, Manufacturing Engineering, Electrical Engineering, Mechanical Engineering, Automation Engineering, or related technical field
Technical leadership in semiconductor defect inspection, data analytics, and development of advanced defect detection and classification capabilities to improve product quality, process control, and manufacturing yield.
Compensation
The expected annual pay range for this position is $120,000 - $160,000.
Responsibilities
Develop image-processing algorithms and AI/ML models to detect, classify, and quantify semiconductor defects such as particles, pits, and scratches.
Analyze large datasets from wafer inspection, metrology, and MOCVD processes to identify trends, correlations, anomalies, and root causes.
Develop automated analysis and visualization workflows using Python, SQL, JMP, Excel, and related tools.
Correlate incoming substrate defects with epitaxial defects and develop data-driven methods for substrate quality screening.
Integrate defect, process, equipment, and wafer-level data to improve understanding of defect mechanisms and yield drivers.
Lead the strategy, delivery, modernization, and operational excellence of digital manufacturing solutions across a global MedTech manufacturing network.
Locations (3)
Fridley, Minnesota, United States
Tempe, Arizona, United States
Dexter, Michigan, United States
Compensation
Salary ranges for U.S (excl. PR) locations (USD):$156,800.00 - $235,200.00
Responsibilities
Lead the development and execution of manufacturing digital transformation strategies aligned with business priorities and enterprise technology roadmaps
Lead the design, development, implementation, and deployment of manufacturing IT solutions across multiple manufacturing sites
Accountable for the operational performance, availability, reliability, and ongoing support of critical manufacturing IT applications and platforms
Senior IT Manager - Manufacturing Digital Transformation
CPSNA Engineering Strategic Project DirectorNewThe Coca-Cola Company · Cidra, Puerto Rico
Industrial EngineerNewNABRICO Marine Products · Caruthersville, US