Wla Yield Defect Metrology Engineer

Intel Intel · Semiconductors · Oregon, Hillsboro, United States

This role focuses on yield defect metrology engineering within Intel's Advanced Packaging / TD division. The engineer will be responsible for process development, statistical analysis, and identifying root causes of yield limiters by analyzing big data from various sources. This involves developing methods and systems to consolidate and analyze data, applying statistics and machine learning techniques, and creating tools and algorithms for high-volume data analysis to drive yield improvement. The role also involves fault isolation, failure analysis, and ensuring manufacturability through data analysis and collaboration with design teams. While the role uses ML techniques, its primary focus is on yield improvement in semiconductor manufacturing, not on developing AI models as a core craft.

What you'd actually do

  1. Provides process development direction throughout the whole lifecycle of a technology node by identifying root cause yield limiters.
  2. Performs statistical analysis, develops visualizations and presentations to construct accurate process development roadmaps that drive technology yield milestones.
  3. Develops methods, processes, and systems to consolidate and analyze diverse big data sources, establishing optimal methodologies for defect mode understanding and yield modeling, leading to accurate yield Pareto construction and process roadmap definition.
  4. Organizes, interprets, and structures insights from fab process, defect, and electrical data and detects data anomalies and drives process changes for yield enhancement.
  5. Extracts insights from structured and unstructured data by quickly synthesizing large volumes of data, and applying statistics, machine learning and coding techniques.

Skills

Required

  • Bachelor's Degree with 3+ or more years of experience, or a Master's Degree with 1+ years of experience, or a PhD with 6+ years of experience in one of the following fields: Materials Science and Engineering, Mechanical Engineering, Computer Science, Information Systems, Chemical Engineering, Electrical Engineering, Chemistry, Physics, or any other STEM-related discipline.
  • Experience in applying statistics, analysis to drive yield and/or process improvement.
  • Experience with Python.

Nice to have

  • Experience with enterprise database programs.
  • 2+ years’ experience with Python.
  • Detailed knowledge of substrate and/or assembly and/or fab back-end processes.
  • Sense of ownership and experience working with partners to drive yield improvement.
  • Prior experience in Defect Reduction, Yield or Module engineering roles.

What the JD emphasized

  • applying statistics, analysis to drive yield and/or process improvement
  • Python