Yield Development Engineering Manager - Strategic Programs

Job Title

Yield Development Engineering Manager - Strategic Programs

Role Summary

Lead enterprise-level yield and defect engineering programs to integrate AI, automation, and digital platforms across development and high-volume semiconductor manufacturing. Manage defect metrology strategy, yield systems, and cross-functional execution to improve yield, cycle time, and productivity.

Experience Level

Senior-level; requires 12+ years of experience in semiconductor manufacturing and yield/defect engineering.

Responsibilities

Own strategy, programs, and delivery for yield and defect engineering transformation across sites.

• Define and execute a multi-year strategy for yield, defect metrology, and AI-enabled decision intelligence.
• Lead enterprise programs to transition from reactive analysis to predictive and prescriptive yield management.
• Drive deployment of AI/ML and agentic AI for defect detection, classification, excursion prevention, and root-cause analysis.
• Integrate data platforms, digital twins, and advanced analytics into fab operations and tooling ecosystems.
• Oversee yield performance across development and high-volume manufacturing; lead cross-functional resolution of yield limiters.
• Define defect metrology capability roadmaps and develop scalable defect-management systems.
• Translate executive vision into roadmaps, milestones, and measurable outcomes; influence senior stakeholders.
• Build and develop a multidisciplinary, high-performing team spanning engineering, data science, and automation.

Requirements

Core qualifications and conditions for the role.

• 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration.
• Proven record leading complex, cross-functional, high-volume manufacturing programs and delivering measurable yield improvements.
• Experience integrating data analytics, machine learning, or AI solutions into engineering workflows and production operations.
• Strong domain knowledge of defect metrology tools, inspection systems, and yield-analysis methodologies.
• Ability to influence senior stakeholders and align investments, priorities, and organizational focus.
• Experience with digital manufacturing ecosystems (data platforms, MES integration, analytics) preferred.
• Experience with advanced packaging (Foveros, EMIB, heterogeneous integration) is a plus.
• Must consent to and pass an extended background investigation (Position of Trust).

Education Requirements

Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or a related field required; advanced degree (MS/PhD) in a relevant technical or data-centric discipline preferred.

About the Company

Company: Intel Corporation

Headquarters: Santa Clara, California, USA

Intel Corporation is a leading multinational technology company known for its innovative semiconductor solutions, including microprocessors, artificial intelligence accelerators, and memory products. Headquartered in the United States, Intel focuses on cutting-edge technology and a collaborative working environment, driving advancements in semiconductor manufacturing to meet global demands. The company emphasizes professional development and aims to shape the future of technology through groundbreaking designs.