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Intel Corporation in the United States, Arizona, Phoenix area, seeks a Labs Industrial Engineer to optimize operational efficiency, capacity utilization, and quality across Foundry Quality and Reliability Lab functions. You will drive data-informed decisions, lab automation, and KPI governance to deliver measurable improvements in a global lab ecosystem.
The role requires a strong engineering foundation with IT/automation experience in lab/manufacturing settings and proficiency with Power
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. Join us and help make the future more wonderful for everyone. Want to learn more? Visit our YouTube Channel or the link below.
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.
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.
Identify operational inefficiencies through structured time studies, workflow analysis, value stream mapping, and data‑driven diagnostics across all lab function that can be improved through standardization and automation of workflows.
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.
Support the design, implementation, and continuous improvement of Quality Management System (QMS) processes within the Reliability and Quality Labs in full compliance with ISO9001 and ISO/IEC17025 standards. Develop and integrate Standard Operating Procedures (SOPs), work instructions, user testing, communication plans for all lab planning and automations systems design and roadmaps.
Minimum Qualifications:
Preferred Qualifications:
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. Go to Intel Benefits | Intel Careers for details of benefits available to you. Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion.
Job Type: Experienced Hire Shift: Shift1 (United States of America) Primary Location: US, Arizona, Phoenix Additional Locations:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation or any other characteristic protected by local law, regulation, or ordinance.
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$140,830.00-198,820.00USD The range displayed on this job posting 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. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
This role will be eligible for our hybrid work model which allows employees to split their time between working on‑site at their assigned Intel site and off‑site.