Jobs / United States / Intel Corporation

Intel Corporation

Ocotillo Technology Fabrication Defect Metrology Equipment Engineer

US, Arizona, Phoenix Posted today

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Skills this job asks for

StatisticsProduct managementMachine learning

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 1,731 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Intel Corporation paid sponsored hires in similar roles78 certified filings for “Software Engineer” (Software Developers) in AZ: $111k–$140k, median $120k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 1,731 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Intel Corporation paid sponsored hires in similar roles
78 certified filings for “Software Engineer” (Software Developers) in AZ: $111k–$140k, median $120k. Most were filed at wage level II (59%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Job Details: 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. Join us and help make the future more wonderful for everyone. Want to learn more? Visit our YouTube Channel or the link below.   Life at Intel Intel is looking for highly motivated individuals with strong technical background and capabilities to sustain, ramp, and transfer all technology nodes in Arizona. They will drive rapid continuous improvements in safety, quality, yield, reliability, cost, process stability/capability, and productivity while maintaining rigorous quality control. Intel Foundry is increasing its investment in defect metrology technology, implementing a new Win It Inline initiative using advanced real-time monitoring to improve yield learning cycles. Investing in inline metrology will give engineers more data throughout the manufacturing process, as opposed to waiting for end of the line data - a fundamental shift in how we leverage data to build chips. Role Overview: As a Defect Metrology Equipment Engineer, you will play a critical role in optimizing and maintaining metrology systems for manufacturing. You will collaborate closely with equipment development, operations, automation, and manufacturing teams to enhance yield systems and ensure product integrity. Responsibilities will include but are not limited to: - Perform statistical analysis and develop visualizations to construct accurate process development roadmaps. - Develop methods and systems to analyze diverse big data sources, leading to yield modeling and process roadmap definition. - Develop and maintain systems that enable faster interpretation of fab process, defect, and electrical data to drive process changes for yield enhancement. - Transform experimental and manufacturing data into yield improvement actions. - Ensure manufacturability over process and product design through thorough analysis. - Execute new product introductions and participate in design of experiments. - Develop tools and algorithms for high-volume data analysis to identify yield limiters. - Harden equipment systems to meet operational needs for leading-edge logic nodes. - Develop AI/ML applications to improve patterning solutions and design efficiency. - Collaborate with internal teams to ensure data integrity and implement custom algorithms. 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: • 3+ months experience with Yield and Defect Metrology equipment (e.g. KLA, AMAT, ASML HMI, TEL, Keysight, Advantest, and Hitachi). • Bachelor's Degree in Electrical Engineering, Microelectronics Engineering, Material Science Engineering, Chemical Engineering, Mechanical Engineering, Optical Engineering, Statistics/Data Science, Chemistry, Physics, or related field of study AND 2+ years relevant experience OR • Master's degree in Electrical Engineering, Microelectronics Engineering, Material Science Engineering, Chemical Engineering, Mechanical Engineering, Optical Engineering, Statistics/Data Science, Chemistry, Physics, or related field of study AND 1+ years relevant experience. Preferred Qualifi

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