Jobs / United States / Intel Corporation
Yield Development Engineer
Intel Corporation · 🇺🇸 US, Oregon, Hillsboro
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: Embark with us on a journey of growth and transformation as we create exceptionally engineered technology and bring AI everywhere. As a valued team member, your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision. Join us and build on our legacy of innovation and collaboration as we deliver world‑changing technology that improves the life of every person on the planet. Life at Intel: https://jobs.intel.com/en/life-at-intel As a Yield Development Engineer, you will play a critical role in advancing Intel's cutting-edge semiconductor technologies. You will be part of a team responsible for driving yield improvement strategies that span the entire lifecycle of a technology node, from research and development through high-volume manufacturing. Your contributions will directly influence Intel's ability to maintain its leadership in the semiconductor industry, ensuring the success of innovative silicon solutions that shape the future of computing. Collaborating with cross-functional teams, you will develop methods and tools to analyze vast data sets, identify yield limiters, and implement process changes that enable Intel to achieve its yield milestones. This role promises an opportunity to shape groundbreaking technologies and generate impactful advancements for the industry and beyond. Responsibilities will include but will not be limited to: • Perform statistical analysis to construct accurate process development roadmaps and drive technology yield milestones. • Analyze and consolidate diverse data sources to identify defect modes and create yield models. • Develop multivariate algorithms for high-volume data analysis to identify root cause yield limiters. • Extract insights from structured and unstructured data using machine learning, coding techniques, and advanced statistical methods. • Collaborate with process integration, defect engineering, and electrical fault isolation teams to debug yield detractors and propose solutions. • Conduct fault isolation and failure analysis to determine the root cause of yield-impacting issues. • Develop tools and systems that transform manufacturing data into actionable yield improvement strategies. • Work closely with design teams to resolve product-related yield issues and improve manufacturability. • Execute new product introductions and participate in factory task forces to ensure process optimization. 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 schoolwork, classes, research and/or relevant previous job and/or internship experiences. Minimum Qualifications: • Bachelor's degree in Engineering, Physical Sciences, Computer Science, or a related field and 3+ years of experience in semiconductor processing, semiconductor devices, or nanotechnology; OR • Master's degree in Engineering, Physical Sciences, Computer Science, or a related field and 2+ years of experience in semiconductor processing, semiconductor devices, or nanotechnology; OR • PhD in Engineering, Physical Sciences, Computer Science, or a related field. • 1+ years of experience in one of the following: • Proficiency in data analysis systems, and machine learning techniques. • Optical probing or metrology. • Expertise in Statistical Process Control (SPC) and Design of Experiments (DOE) principles. • Expertise in full-stack application development, software architecture, and cloud-based platforms