Intel

Industrial Engineer - Foundry Quality and Reliability Labs

In short

Intel is hiring an Industrial Engineer for its Foundry Quality and Reliability Labs organization in Phoenix, Arizona, to optimize lab operational efficiency, capacity utilization, and quality performance. The role drives KPI development, lab automation governance, and QMS processes (ISO 9001, ISO/IEC 17025) in collaboration with IT and automation partners. It requires 10+ years of manufacturing/foundry/lab operations experience (or 7+ years with a Master's), plus 5+ years in project management and Power BI/Excel/JIRA/GitLab/DBaaS tooling. This is a hybrid role with a stated US salary range of $140,830–$198,820/year.

Job Description
Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life.
The Labs Industrial Engineer is responsible for optimizing the operational efficiency, capacity utilization, and quality performance of Foundry Quality Reliability Laboratory functions. This role supports lab operational systems design while driving continuous operational improvement through the development and management of key performance indicators, lab automation, and governance systems. The ideal candidate combines strong engineering fundamentals, with experience in IT/automation development in a lab/manufacturing systems environment to deliver data-informed decisions, streamlined workflows, and measurable performance gains across the foundry lab global 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.
Responsibilities
Lab Operations - Efficiency Planning and Standardization
•Identify operational inefficiencies through structured time studies, workflow analysis, value stream mapping, and data-driven diagnostics across all lab functions that can be improved through standardization and automation of workflows
Lab Operations - Automation and Planning Engineering
•Develop effective governance systems for our lab planning/automation requirements, development roadmap, execution and sustaining operations with our IT, Automation, and 3rd party developer partners
•Define and drive effective KPI metrics with our partners to improve planning, execution and support level outcomes
Quality Systems and Lab Operations Engineering
•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
•Develop and integrate Standard Operating Procedures (SOPs), work instructions, user testing, communication plans for all lab planning and automations systems design and roadmaps
Qualifications
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences.
Minimum Qualifications
•Bachelor's degree in industrial engineering or related field Engineering Field (Manufacturing, Systems, Mechanical or SW Engineering) with 10+ years of experience in manufacturing, foundry, or laboratory operations environment, or Master of Science (MS) in Industrial Engineering or related field (Manufacturing, Systems, Mechanical or SW Engineering) with 7+ years of experience
•5+ years' experience with Project Management including KPI framework development, performance measurement, and data-driven continuous improvement
•5+ years' experience with Power BI/Excel, HTML, JIRA, GITlab, DBaaS: proficient in building interactive operational dashboards, data models and automated report distribution; experience connecting Power BI to SQL databases, ERP/MES systems, and Excel data sources
Preferred Qualifications
•Data Scripting and Digital Tools - Python, SQL (or equivalent): proficient in writing queries for data extraction, transformation, aggregation, and reporting from relational databases; experience with stored procedures and views preferred
•Quality Management Systems - working knowledge of and experience operating within ISO 9001 Quality Management System 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
•Shopfloor Control and Automation Systems - 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
Benefits
Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
Additional Details
•Job Type: Experienced Hire
•Shift: Shift 1 (United States of America)
•Primary Location: US, Arizona, Phoenix
•Position of Trust: N/A
•Annual Salary Range for jobs which could be performed in the US: $140,830.00–198,820.00 USD. The range displayed reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
•Work Model: This role is eligible for Intel's hybrid work model, which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.

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