Industrial Engineer - Foundry Quality and Reliability Labs

Intel Corporation•Chandler, AZ

3d•$140,830 - $198,820•Hybrid

About The Position

The Labs Industrial Engineer optimizes operational efficiency, capacity utilization, and quality performance for Intel Foundry Quality and Reliability Laboratory functions. The role supports lab operational systems design and drives continuous improvement through development and management of key performance indicators, lab automation, and governance systems. It combines engineering fundamentals with IT and automation development experience in a laboratory or manufacturing systems environment to enable data-informed decisions, streamlined workflows, and measurable performance gains across the global foundry lab ecosystem. The position is part of Intel's Foundry Quality and Reliability Labs organization, which works to ensure global lab capabilities meet evolving customer and business needs. The organization focuses on operational excellence, efficiency, and innovation in lab processes in support of Intel's foundry mission. The role identifies operational inefficiencies using time studies, workflow analysis, value stream mapping, and data-driven diagnostics, then supports standardization and automation of workflows. It develops governance systems and roadmaps for lab planning and automation with IT, automation, and third-party developer partners, and defines KPI metrics to improve planning, execution, and support outcomes. It also supports the design, implementation, and continuous improvement of Quality Management System processes in compliance with ISO 9001 and ISO/IEC 17025, and develops SOPs, work instructions, user testing, and communication plans for lab planning and automation systems.

Requirements

Bachelor's degree in industrial engineering or a related engineering field (manufacturing, systems, mechanical, or software engineering) and 10+ years of experience in a manufacturing, foundry, or laboratory operations environment; or an MS in industrial engineering or a related engineering field and 7+ years of such experience.
5+ years of project management experience, including KPI framework development, performance measurement, and data-driven continuous improvement.
5+ years of experience with Power BI/Excel, HTML, JIRA, GITlab, and DBaaS.
Proficiency building interactive operational dashboards, data models, and automated report distribution.
Experience connecting Power BI to SQL databases, ERP/MES systems, and Excel data sources.

Nice To Haves

Proficiency writing Python, SQL, or equivalent queries for data extraction, transformation, aggregation, and reporting from relational databases; experience with stored procedures and views is preferred.
Working knowledge of and experience operating within ISO 9001 QMS requirements, including document control, internal auditing, and management review processes.
Familiarity with ISO/IEC 17025 laboratory accreditation requirements, including technical competence, measurement uncertainty, equipment calibration, and proficiency testing.
Experience with Manufacturing Execution Systems (MES), Workstream, or equivalent shop-floor control for production/lab order management, work-in-process tracking, data collection, and reporting.

Responsibilities

Identify operational inefficiencies across lab functions through structured time studies, workflow analysis, value stream mapping, and data-driven diagnostics.
Improve lab workflows through standardization and automation.
Develop governance systems for lab planning and automation requirements, development roadmaps, execution, and sustaining operations in collaboration with IT, automation, and third-party developer partners.
Define and drive KPI metrics with partners to improve planning, execution, and support outcomes.
Support the design, implementation, and continuous improvement of Quality Management System processes within Reliability and Quality Labs in compliance with ISO 9001 and ISO/IEC 17025 standards.
Develop and integrate SOPs, work instructions, user testing, and communication plans for lab planning and automation systems design and roadmaps.