Yield Development Engineering Manager, Strategic Programs

Intel

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Hybrid

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Work type
Hybrid
Location
Hillsboro, OR
Employment
Full-time
Posted
74 days ago
Freshness
Confirmed live yesterday

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Similar $211k
$155k $269k
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About Intel

Intel Corporation is the world''s largest semiconductor chip manufacturer, designing and producing microprocessors, chipsets, graphics chips, SSDs, and networking products for computers, data centers, and IoT devices. Industry: Semiconductors & Computing

Intel currently has 15 open roles on FindRole.

Listed pay typically runs $124,110–$199,890 across 8 roles with salary data.

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At a glance

TL;DR · Yield Development Engineering Manager, Strategic Programs

The Yield Development Engineering Manager-Strategic Programs leads a multidisciplinary organization focused on driving the next generation of yield and defect engineering transformation within a high-volume semiconductor manufacturing environment. This senior leadership role involves defining multi-year strategies to integrate AI, machine learning, and automation into core workflows. The manager will oversee defect metrology, yield engineering systems, and AI-enabled decision intelligence to transition from reactive analysis to predictive management. Key responsibilities include leading enterprise-level programs, managing cross-functional teams, and overseeing yield performance across development and high-volume manufacturing. Required skills include deep expertise in semiconductor manufacturing, defect metrology, and process integration. The role addresses technical challenges in defect detection, excursion prevention, and root cause analysis for future technology nodes and advanced packaging innovations.

What you'll do

  • Define and execute a multi-year strategy for Yield and Defect Engineering integrating AI, ML, and automation.
  • Lead enterprise-level programs to transition manufacturing from reactive analysis to predictive and prescriptive yield management.
  • Deploy AI and Agentic AI solutions to enhance defect detection, classification, and root cause analysis.
  • Oversee yield performance across development and high-volume manufacturing to meet aggressive quality and delivery targets.
  • Define the defect metrology strategy, including tool selection, capability roadmaps, and system architecture.
  • Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, and equipment teams.
  • Build and lead a high-performing organization focused on engineering depth, data science, and AI fluency.

What we're looking for

  • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or a related field.
  • Advanced degree in a relevant technical or data-centric discipline (preferred).
  • 12+ years of experience in semiconductor manufacturing with expertise in yield engineering, defect metrology, or process integration.
  • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries (preferred).
  • Experience in advanced packaging technologies such as Foveros, EMIB, or heterogeneous integration (preferred).
  • Proven track record of leading complex, cross-functional programs in high-volume manufacturing environments (preferred).
  • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies (preferred).
  • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows (preferred).

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