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Sr Substrate Yield Lead

Job in Chandler, Maricopa County, Arizona, 85249, USA
Listing for: Intel Corporation
Full Time position
Listed on 2026-10-12
Job specializations:
  • Engineering
    Quality Engineering, Process Engineer, Manufacturing Engineer
Salary/Wage Range or Industry Benchmark: 181000 - 255000 USD Yearly USD 181000.00 255000.00 YEAR
Job Description & How to Apply Below
Position: Sr Staff Substrate Yield Lead
Job Description:

Intel Corporation is seeking a high-impact Yield Development Engineer to drive yield performance for cutting-edge manufacturing processes within the Substrate Technology and Development (SPTD) organization. In this role, you will own end-to-end yield improvement initiatives, leveraging your expertise in data analysis, defect resolution, and designnd transform the future of technology.

Intel’s APTM organization is seeking a highly driven and execution-focused EMIB-T Substrate Yield Lead to lead yield performance for next-generation advanced packaging technologies, including
EMIB-T (Embedded Multi-die Interconnect Bridge with TSV), Intel’s most advanced platform for heterogeneous integration. This is a high-visibility, high-accountability role with significant responsibility for enabling successful technology development and manufacturing readiness across both
Intel Foundry Services (IFS)and
Intel Product Groups (IPG).

The ideal candidate is a self-starter who thrives in ambiguous and fast-paced environments, proactively drives issues to closure, and requires minimal supervision. Success in this role requires strong technical depth, urgency in execution, the ability to influence cross-functional teams and suppliers, and a relentless focus on delivering yield and program milestones.

Business group

The SPTD Yield group is part of Intel Corporation and plays a critical role in driving innovation and delivering high-performance yield solutions that enable advanced semiconductor manufacturing. This team focuses on yield ownership, supplier engagement, and defect resolution, ensuring manufacturing excellence for Intel’s cutting-edge technologies. By joining this group, you will collaborate across disciplines to support Intel’s broader mission of delivering transformative and impactful technology solutions.

Key Responsibilities

  • Lead process yield ownership, driving root cause analysis (RCA) and corrective actions for yield excursions.
  • Establish real-time yield monitoring dashboards and actionable performance metrics.
  • Serve as the primary technical interface with substrate suppliers to drive process accountability, defect reduction, and yield enhancement.
  • Partner with design and integration teams to optimize design rules and improve yield robustness through DFM and DFY initiatives.
  • Perform statistical data analysis using tools such as JMP and SQL scripting to identify yield limiters and develop solutions.
  • Apply advanced analytics or machine learning techniques to improve yield prediction and defect classification.
  • Collaborate with cross-functional teams to solve complex technical challenges, supporting Intel’s high-visibility manufacturing programs.

Behavioral traits

  • Demonstrated success in problem-solving for semiconductor manufacturing yield improvements.
  • Effective collaboration and communication skills to drive results across multidisciplinary teams.
Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates.

Minimum Qualifications

  • Bachelor’s degree in Materials Science and Engineering, Mechanical Engineering, Computer Science, Information Systems, Chemical Engineering, Electrical Engineering, Physics, or Chemistry or related field, with 9+ years of experience,
    OR a Master’s degree with 6+ years of experience,
    OR a PhD with 4+ years of experience
  • 4+ years of experience in at least 3 of the following areas:
    • Statistical analysis tools (e.g., JMP) and scripting (e.g., SQL) for data analytics.
    • Yield analysis methodologies, defect density reduction, and process control.
    • Semiconductor fabrication processes, process…
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