Jobs / United States / Intel Corporation
Defect Metrology Engineer
Intel Corporation · 🇺🇸 2 Locations
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. USCIS also records 1,112 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- 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. 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 roles287 certified filings for “Process Engineer” (Materials Engineers) in OR: $113k–$133k, median $133k. Most were filed at wage level III (87%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
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.
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Sponsor Radar — Intel Corporation
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. USCIS also records 1,112 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Intel Corporation →
About the role
Job Details: Job Description: The Role and Impact As a Yield Development Engineer at Intel, you will be at the forefront of advancing semiconductor process technology. Your contributions will directly impact the company's ability to deliver high-performance, reliable products to the market. This role offers a unique opportunity to influence Intel's success by driving yield improvements across cutting-edge technology nodes. You will work collaboratively with interdisciplinary teams to solve complex engineering challenges and develop innovative methodologies, ensuring Intel remains an industry leader in the semiconductor landscape. Key Responsibilities • Identify root cause yield limiters throughout the lifecycle of a technology node and develop solutions to address them. • Perform statistical analysis and create visualizations to construct accurate process development roadmaps that drive technology yield milestones. • Develop methodologies to consolidate and analyze data from diverse sources, enabling defect mode understanding and yield modeling. • Transform experimental and manufacturing data into actionable insights that improve yield by leveraging advanced statistics, coding techniques, and engineering expertise. • Design and implement measurement recipes to deliver quick, precise feedback on product integrity and resolve yield-impacting issues. • Collaborate with cross-functional teams to debug yield limiters in design, test, and process development areas. • Develop and harden equipment and methodologies to meet the operational needs of advanced logic nodes. • Ensure manufacturability by thoroughly analyzing process and spec corners and collaborating with design teams to resolve yield issues prior to manufacturing ramp. • Execute new product introductions and enable design-technology co-optimization through participation in factory task forces and design of experiments. • Manage and execute multiple projects simultaneously, meeting tight deadlines without compromising quality. Core Competencies • Strong record of collaborative success. • Strong problem-solving and communication skills, with the ability to distill complex technical information for diverse audiences. • Demonstrated experience in cross-functional teamwork and collaboration. • Passion for innovation and driving meaningful results in a fast-paced environment. Qualifications: The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications • Bachelor's degree in Electrical Engineering, Materials Science, Mechanical Engineering, Semiconductor Technology, or in a closely related discipline. • Bachelor's degree with 4+ years of experience, Master's degree with 3+ years of experience, or PhD with 1+ years of experience. • 2+ years of experience in yield development, process technology, or a related field. • Experience in statistical analysis and data visualization tools. Preferred Qualifications • Technical expertise in semiconductor process development, defect density analysis, and data analytics. • Experience with advanced semiconductor equipment and methodologies for process improvement. • Experience within Defect Metrology. • Experience working with brightfield, darkfield, and ebeam inspection. • Experience working with semiconductor factories. • Semiconductor foundry experience. • Experience with failure analysis. • Familiarity with machine learning approaches and their application in