Jobs / United States / Intel Corporation
Quality And Reliability Engineer
Intel Corporation · 🇺🇸 US, Arizona, Phoenix
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 roles11 certified filings for “Quality Reliability Engineer” (Industrial Engineers) in AZ: $103k–$130k, median $117k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% 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 Manufacturing Quality and Reliability Engineer, you will play a key role in ensuring Intel's manufacturing ramps transition seamlessly to high-volume production while maintaining exceptional product quality and reliability standards. You will evaluate materials, processes, and testing mechanisms, conduct quality audits, and implement improvements that directly enhance Intel's ability to deliver cutting-edge technology solutions. Your contributions will foster a culture of continuous improvement and operational excellence, driving impact across manufacturing and customer satisfaction. Business Group You will join Intel's Foundry manufacturing quality and reliability team, an organization dedicated to upholding world-class standards across Intel's manufacturing operations. Collaborating across product engineering, manufacturing, and supplier engagements, the team ensures Intel's products consistently meet rigorous quality requirements while supporting Intel's broader mission of delivering innovative solutions that shape the future of technology. Key Responsibilities - Evaluate and qualify manufacturing ramps and processes to ensure compliance with quality and reliability standards. - Develop systems for early detection and containment of manufacturing excursions while conducting risk assessments. - Drive continuous process improvements and proactive quality programs in factories to promote a quality mindset. - Conduct quality assessments, audits, and analyze reliability data to identify opportunities for improvement. - Collaborate with product development teams to make recommendations for system, process, and product reliability enhancements. - Manage excursion containment, change control, and supplier audits, driving supplier continuous improvement initiatives. - Respond to customer-reported issues by providing engineering solutions to improve customer satisfaction and experience. - Extract insights from data using statistical techniques and machine learning to evaluate product and system compliance. What We're Looking For You should demonstrate the following professional traits to be successful: - Proven ability to lead and motivate teams within a fast-paced manufacturing environment. - Skilled in engineering analysis tools and data-driven decision-making for quality improvements. - Strong communication and leadership skills, with experience driving results in cross-functional teams. - Ability to develop long-term strategies and execute them effectively. - A passion for fostering team collaboration and building a productive, inclusive work environment. 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. Minimum Qualifications Bachelor's degree in Electrical Engineering, Material Engineering, other engineering, Physics or STEM related fields with 3+ years of experience (OR Masters or PhD degree in Electrical Engineering, Material Engineering, other engineering, Physics or STEM related fields with 1+ years' experience) in at least 4 of the below skills: • Proficiency in statistical process control, excursion management processes, and manufacturing quality. • Complementary metal-oxide semiconductor (CMOS), device physics, and semiconductor processing techniques, Statistical Process Control (SPC). • Device/semiconductor physics and electrical characterization techniques and in areas pertaining to wafer fabrication. • Data extraction and analysis skills. • Quality & Reliability (QnR), Process, device, and product engineering experience. • Design of Experiments (DOE) principles and struc