Skills this job asks for
StatisticsExcelSQLMachine learningLeadership
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Intel Corporation paid sponsored hires in similar roles69 certified filings for “Process Engineer” (Materials Engineers) in AZ: $105k–$124k, median $110k.
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✓
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
- 69 certified filings for “Process Engineer” (Materials Engineers) in AZ: $105k–$124k, median $110k. Most were filed at wage level III (51%) — 3 lottery entries, ≈46% 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:
As a Process Integration and Yield Engineer, you will play a critical role in driving continuous improvements across advanced manufacturing processes. You'll focus on analyzing data, identifying root causes of yield and defect issues, and implementing corrective actions to improve process quality and reliability. Your work will directly contribute to enhancing Intel's manufacturing efficiency and delivering high-performance products to meet customer needs.
Business Group
This role is part of Intel's Foundry Technology Development Yield organization, which is dedicated to optimizing semiconductor manufacturing and enabling cutting-edge solutions for foundry customers. The team works collaboratively across manufacturing, operations, and engineering to ensure process stability, capability, and quality control, supporting Intel's broader goals of innovation and excellence.
Key Responsibilities:
• Conduct data analysis using statistical and data mining tools to identify defect and yield improvement opportunities.
• Lead or participate in multi-functional teams to address yield challenges and implement process changes.
• Collaborate with integration, module, and yield engineers to enhance process quality, reliability, and cost efficiency.
• Develop tools, algorithms, and methodologies for high-volume data analysis to identify root causes and recommend corrective actions.
• Drive continuous improvement programs to prevent quality, line yield, and sort yield excursions.
• Execute new product introductions and design of experiments to optimize manufacturing processes.
• Provide expertise to troubleshoot complex yield problems and ensure manufacturability.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
• Bachelor's degree in Electrical Engineering, Material Science, Physics, or related STEM field with 4+ years of experience, OR
• Master's degree in Electrical Engineering, Material Science, Physics, or related STEM field with 2+ years of experience, OR
• PhD in Electrical Engineering, Material Science, Physics, or related STEM field with no prior experience required.
• Depending on the degree obtained above, the listed amount of experience will be needed in each of the areas below:
• Statistical analysis tools (e.g., Excel, SQL, JMP).
• Semiconductor processing and manufacturing environments.
• Statistical Process Control (SPC) and/or Design of Experiments (DOE) principles.
• Data structures, and data analysis methods.
Preferred Qualifications
• Advanced knowledge of semiconductor fabrication techniques (e.g., Lithography, Etch, CMP, Thin Films).
• programming languages
• Familiarity with machine learning tools for process analysis and yield enhancement.
• Experience in failure analysis techniques and big data applications.
• Strong communication, teamwork, and leadership skills to collaborate across teams and levels.
• Demonstrated ability to lead improvement programs and effectively manage priorities in a fast-paced environment.
Intel is seeking talented engineers ready to make an impact in semiconductor manufacturing. Explore this exciting opportunity to contribute to innovation and shape the future of technology. Apply today.
Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disabi
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