WLA Yield Defect Metrology Engineer

Job Title

WLA Yield Defect Metrology Engineer

Role Summary

Responsible for improving manufacturing yield for advanced logic nodes by identifying defect modes and root causes, developing metrology and data-analysis solutions, and driving process and equipment improvements. The role works within Foundry Technology Manufacturing and collaborates with cross-functional teams across design, test, and process integration.

Experience Level

Senior. Typical experience guidance: approximately 4–8+ years of relevant industry experience (exact expectation varies with education level).

Responsibilities

Primary responsibilities focus on defect understanding, yield modeling, and implementing corrective actions to improve product integrity and yield.

• Identify root-cause yield limiters across the technology node lifecycle and recommend corrective actions.
• Perform statistical analysis and build visualizations to guide process-development roadmaps and yield milestones.
• Develop systems to consolidate and analyze large, diverse data sources for defect-mode understanding and yield modeling.
• Organize and interpret fab process, defect, and electrical data; detect anomalies and drive process changes.
• Apply statistics, machine learning, and coding to extract insights from structured and unstructured data.
• Translate experimental and manufacturing data into actionable yield-improvement strategies using product and test knowledge.
• Analyze manufacturability with respect to process and product design and resolve yield issues prior to manufacturing ramp.
• Support new product introductions and design-technology co-optimization efforts.
• Perform fault isolation and failure analysis to determine root causes and improve measurement recipes and equipment/process capability.
• Develop and implement high-volume data-analysis tools, algorithms, and methodologies for yield improvement.

Requirements

Core technical experience and skills required; education details are listed separately under Education Requirements.

• Hands-on experience with metrology and defect inspection equipment.
• Defect detection, defect-density analysis, and demonstrated yield-improvement execution.
• Failure mode analysis and process integration experience, including fault isolation techniques.
• Strong statistics, data analytics, and coding skills for large datasets.
• Experience developing high-volume data analysis tools and automation for manufacturing use.
• Ability to collaborate across cross-functional teams and communicate technical findings effectively.
• Nice-to-have: machine learning techniques, semiconductor manufacturing/yield-development background, and experience driving measurement-recipe or equipment improvements.

Education Requirements

Bachelor's degree in Materials Science and Engineering, Mechanical Engineering, Computer Science, Information Systems, Chemical Engineering, Electrical Engineering, Chemistry, Physics, or another STEM-related field with 8+ years of relevant experience; OR a Master’s degree in one of those fields with 6+ years of relevant experience; OR a PhD in one of those fields with 4+ years of relevant experience.

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.