Drimva

Intel

Sr Staff Substrate Yield Lead

$181K–$255K

US, Arizona, Phoenix · Senior Staff · Full-time · Posted Oct 6, 2026

Experience
9+ years with a bachelor’s degree, 6+ years with a master’s degree, or 4+ years with a PhD; additionally, 4+ years in at least 3 specified technical areas.
Education
Bachelor’s degree in a listed field or related field; or a master’s degree; or a PhD.

About the job

Leads yield improvement and manufacturing readiness for Intel’s EMIB-T advanced substrate technology by driving defect resolution, supplier accountability, and cross-functional process optimization.

What you'll do

  • Own yield performance, investigate excursions, and drive root-cause analysis and corrective actions.
  • Build yield-monitoring dashboards and use statistical analysis to identify yield limiters and improve defect classification and prediction.
  • Work with substrate suppliers and design, integration, and other teams to improve processes, design rules, and yield robustness.

What they ask for

  • Bachelor’s degree in a listed engineering, science, computer science, or information systems field, or a related field, with 9+ years of experience; or a master’s degree with 6+ years; or a PhD with 4+ years.
  • 4+ years of experience in at least 3 of the listed areas: statistical analysis and scripting; yield analysis, defect reduction, and process control; semiconductor fabrication, process integration, or manufacturing debug; fault isolation, failure analysis, or DFT.
  • Demonstrated success improving semiconductor manufacturing yield.
  • Effective collaboration and communication skills across multidisciplinary teams.

Nice to have

  • Ability to interpret complex datasets and develop actionable yield-optimization insights.
  • Experience with process design enablement, process development, and equipment optimization.

Pay

$180,770.00-255,200.00 USD (total compensation)

Tools

JMP, SQL

AI focus

Apply advanced analytics or machine learning to improve yield prediction and defect classification.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)