Yield Development Engineer: AI/ML for Semiconductor Yields

Intel; Austin (TX); On-site; USD 133,800 - 255,200; Full time

Job summary

Intel is seeking a Yield Development Engineer to advance data-driven yield modeling and AI/ML tooling across design and manufacturing teams. You will consolidate diverse data sources, develop multivariate analyses, and create insights that drive process changes for yield improvement.

The role emphasizes collaboration with cross-functional teams to ensure manufacturability, develop measurement recipes, and deploy analytics that accelerate technology deployment at scale.

Qualifications

• PhD in semiconductor science-related STEM field.
• 2+ years of experience in advanced semiconductor devices and process flow.
• Experience with data analysis systems and yield projection.

Responsibilities

• Develop methods to analyze big data for defect mode understanding and yield modeling.
• Perform statistical analyses and create visualizations to drive yield milestones.
• Extract insights from structured and unstructured data using ML and coding techniques.
• Identify anomalies to drive process changes for yield improvement.
• Collaborate with design teams to resolve yield issues and ensure manufacturability.
• Develop AI/ML tools to bridge design and manufacturing and reduce debug time.

Skills

Data analysis tools

Yield projection

Cross-functional collaboration

Project/program management

Education

PhD in semiconductor science or related field

Tools

Data analysis software

Job description

Intel is seeking a Yield Development Engineer to advance data-driven yield modeling and AI/ML tooling across design and manufacturing teams. You will consolidate diverse data sources, develop multivariate analyses, and create insights that drive process changes for yield improvement.

The role emphasizes collaboration with cross-functional teams to ensure manufacturability, develop measurement recipes, and deploy analytics that accelerate technology deployment at scale.