Yield Development Engineer | AI-Driven Semiconductors

Intel; Hillsboro (OR); On-site; USD 133,800 - 255,200; Full time

Job summary

Intel's Yield Development team in Hillsboro, Oregon is seeking an experienced engineer to develop methods and systems that consolidate big data for yield modeling and defect mode understanding.

You will apply statistics, machine learning, and coding to extract actionable insights from fab and device data, drive yield improvements, and collaborate with design teams to ensure manufacturability before ramping production.

Qualifications

• PhD in semiconductor science-related STEM field required.
• 2+ years of experience in advanced semiconductor devices and process flow.

Responsibilities

• Develop methods, processes, and systems to consolidate and analyze diverse big data sources for defect mode understanding and yield modeling.
• Perform statistical analysis, create visualizations, and construct process development roadmaps that drive technology yield milestones.
• Extract insights from structured and unstructured data using advanced statistics, machine learning, and coding techniques.
• Organize, interpret, and structure insights from fab process, defect, and electrical data while identifying anomalies to drive process changes for yield enhancement.
• Develop multivariate algorithms and tools to identify root cause yield limiters and recommend process changes for yield improvement.
• Collaborate with design teams to resolve yield issues, ensuring manufacturability across process and product specifications before ramping production.
• Execute new product introductions, enable design-technology co-optimization, and participate in design of experiments with factory task forces.
• Develop measurement recipes for rapid feedback on product integrity and address issues impacting yield or product quality.
• Create and harden systems capable of meeting operational needs for leading-edge logic nodes, working with equipment vendors and internal collaborators.
• Develop AI/ML applications and computational tools to bridge the gap between design and manufacturing, improve design efficiency, and reduce debug time.
• Document technical procedures, train colleagues, and debug equipment, software, and procedural failures in production environments when required.

Skills

Data analysis

Statistics

Machine learning

Coding

Root cause analysis

Cross-functional collaboration

Education

PhD in semiconductor science-related field

Job description

Intel's Yield Development team in Hillsboro, Oregon is seeking an experienced engineer to develop methods and systems that consolidate big data for yield modeling and defect mode understanding.

You will apply statistics, machine learning, and coding to extract actionable insights from fab and device data, drive yield improvements, and collaborate with design teams to ensure manufacturability before ramping production.