Yield Development Engineer – Data-Driven Semiconductors

Intel Corporation

Hillsboro, Northern (OR, KY)

Hybrid

USD 142,000 - 269,000

Full time

14 days+
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Benefits offered by this job

Stock bonuses
Health benefits

Job summary

Intel Foundry LTD in Hillsboro, OR is seeking a Yield Development Engineer to advance process technologies and drive yield improvements across multiple nodes. You will identify root cause yield limiters, develop multivariate analysis tools, and collaborate with design teams to ensure manufacturability before ramping production.

The role emphasizes building AI/ML applications, developing measurement recipes, and creating robust procedures for rapid feedback on product integrity in a fast-paced

Qualifications

  • Ph.D. in semiconductor science-related STEM degree in engineering, physical science, computer science, or related field.
  • 2+ years of experience in advanced semiconductor devices and process flow.
  • 2+ years of experience with data analysis systems and software tools.

Responsibilities

  • Develop methods and systems to consolidate and analyze big data sources for defect mode understanding and yield modeling.
  • Perform statistical analysis, create visualizations, and construct process development roadmaps for yield milestones.
  • Extract insights from structured and unstructured data using statistics, ML, and coding techniques.
  • Collaborate with design teams to resolve yield issues and ensure manufacturability across process and product specs.

Skills

Data analysis
Statistics
Coding techniques

Education

Ph.D. in semiconductor science-related STEM field

Tools

Python
SQL
Machine Learning

Job description

Intel Foundry LTD in Hillsboro, OR is seeking a Yield Development Engineer to advance process technologies and drive yield improvements across multiple nodes. You will identify root cause yield limiters, develop multivariate analysis tools, and collaborate with design teams to ensure manufacturability before ramping production.

The role emphasizes building AI/ML applications, developing measurement recipes, and creating robust procedures for rapid feedback on product integrity in a fast-paced

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