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 56 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 Renesas Electronics America INC paid sponsored hires in similar roles4 certified filings for “Staff System Engineer” (Electronics Engineers, Except Computer) in CA: $162k–$187k, median $168k.
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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 56 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 Renesas Electronics America INC paid sponsored hires in similar roles
- 4 certified filings for “Staff System Engineer” (Electronics Engineers, Except Computer) in CA: $162k–$187k, median $168k. Most were filed at wage level II (100%) — 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
We are seeking a Staff Foundry Yield Engineer to join our Foundry Yield Engineering team. The position is responsible for driving yield improvement, supporting new product introduction and manufacturing transfers, performing yield and defect data analysis, and providing technical support for foundry manufacturing issues.
The engineer will work closely with external foundry partners and cross-functional internal teams to ensure robust manufacturing performance, successful product ramp, effective excursion resolution, and continuous improvement in yield, quality, cost, and engineering efficiency.
• Bachelor's or Master's degree in Electrical Engineering, Microelectronics, Semiconductor Engineering, Materials Science, Physics, or a related technical field.
• Solid understanding of semiconductor manufacturing processes, device fundamentals, and manufacturing/yield engineering.
• Relevant experience in semiconductor yield engineering, process engineering, process integration, product engineering, or foundry engineering.
• Strong experience with manufacturing and yield data analysis, including inline, electrical test, wafer sort, defect, and wafer-level data.
• Strong statistical problem-solving and root-cause-analysis skills.
• Experience with statistical/data-analysis tools such as JMP, Spotfire, Exensio/PDF, or equivalent.
• Demonstrated ability to work effectively with external manufacturing partners and cross-functional engineering teams.
• Strong written and verbal communication skills.
Preferred Qualifications
• Experience working with semiconductor foundries or outsourced wafer manufacturing.
• Experience with NPI, manufacturing transfer, qualification, safe launch, and production ramp.
• Knowledge of SPC, Cp/Cpk, D0/defect-density analysis, wafer-map analysis, correlation analysis, and statistical data mining.
• Experience resolving complex manufacturing yield excursions and driving corrective actions.
• Experience developing automated data-analysis or reporting workflows.
• Exposure to AI/ML-assisted semiconductor data analytics is a plus.
Key Responsibilities
Foundry Yield Improvement
• Monitor and analyze manufacturing yield, defect, inline, electrical test, wafer sort, and related production data.
• Identify yield-loss mechanisms and improvement opportunities through statistical analysis, wafer-level analysis, correlation, and data mining.
• Partner with foundries and internal engineering teams to develop and implement yield-improvement actions.
• Benchmark foundry performance and identify opportunities to improve yield entitlement and manufacturing cost.
NPI, Manufacturing Transfer & Safe Launch
• Support new product introduction, manufacturing transfer, qualification, safe launch, and production ramp activities.
• Develop data-analysis and monitoring plans to assess manufacturing readiness and identify potential risks.
• Track yield and manufacturing performance during product introduction and ramp and drive issues to closure.
• Support qualification and transfer schedules through effective collaboration with foundry and internal stakeholders.
Yield Excursion & Quality Support
• Perform timely analysis of low-yield events, manufacturing excursions, abnormal defect patterns, and other quality-related issues.
• Correlate manufacturing, electrical, and test data to support root-cause identification.
• Work with foundry, Product Engineering, Quality, Test Engineering, and other technical teams on containment, corrective actions, and continuous improvement.
• Provide data-driven technical recommendations for manufacturing disposition and risk assessment.
Data Analytics & Yield Engineering Tools
• Apply statistical and visualization tools such as JMP, Spotfire, E
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