Industrial Engineer - Foundry Quality and Reliability Labs
About the role
Job Details: Job Description:
The Role and Impact As labs Industrial Engineer, you will play a crucial role in optimizing factory operations, improving workflow efficiency, and driving productivity to meet customer demands for lab testing and failure analysis services This role supports Demand and Capacity Planning for lab operations while driving continuous operational improvement through the development and management of key performance indicators, and automation systems. The ideal candidate combines strong industrial engineering fundamentals with advanced data scripting capabilities and lab/manufacturing systems expertise to deliver data-informed decisions, streamlined workflows, and measurable performance gains across a dynamic foundry lab ecosystem. Business group This role is part of Intel's Foundry Quality and Reliability Labs organization, a team dedicated to ensuring Intel's global lab capabilities meet the evolving needs of customers and the business. The group focuses on operational excellence, efficiency, and innovation in lab processes, supporting Intel's foundry mission to deliver world-class technology solutions. Key
Responsibilities • Develop, maintain, and optimize end-to-end Demand and Capacity Plans for Quality and Reliability Lab operations, including failure analysis, material analysis and reliability validation workflows • Build and manage capacity models using industrial engineering methodologies (time studies, standard work, utilization analysis) to identify bottlenecks, over/under-capacity conditions, and optimization opportunities • Design, develop, pilot and implement a comprehensive Key Performance Indicator (KPI) framework for Quality and Reliability Lab operations encompassing throughput time (TPT), utilization, quality yield, cost per test, and equipment effectiveness • Build automated KPI dashboards and reporting pipelines using Power BI, Python, and SQL to provide real-time and trend-based visibility into lab performance for all stakeholder levels. Integrate KPI data streams from MES, Workstream, and IT platforms to create unified operational visibility and eliminate manual reporting redundancies • Support the design, implementation, and continuous improvement of Quality Management System (QMS) processes within the Reliability and Quality Labs in full compliance with ISO 9001 and ISO/IEC 17025 standards - Collaborate with cross-functional stakeholders to plan equipment purchases, layout changes, and workflow improvements. - Utilize data analysis and complex modeling techniques to enhance lab output and optimize process flows. - Define and manage tool metrics, monitor tool performance, and drive productivity improvements.