Yield Development Engineer

Intel Intel · Semiconductors · Oregon, Hillsboro, United States

This role focuses on yield development in semiconductor manufacturing, using machine learning and statistical methods to analyze large datasets, identify yield limiters, and develop strategies for improvement. The primary artifact is the yield improvement strategy and the tools/models used to generate it, which falls under data engineering and analysis for manufacturing processes.

What you'd actually do

  1. Perform statistical analysis to construct accurate process development roadmaps and drive technology yield milestones.
  2. Analyze and consolidate diverse data sources to identify defect modes and create yield models.
  3. Develop multivariate algorithms for high-volume data analysis to identify root cause yield limiters.
  4. Extract insights from structured and unstructured data using machine learning, coding techniques, and advanced statistical methods.
  5. Collaborate with process integration, defect engineering, and electrical fault isolation teams to debug yield detractors and propose solutions.

Skills

Required

  • Bachelor's degree in Engineering, Physical Sciences, Computer Science, or a related field and 4+ years of experience in semiconductor processing, semiconductor devices, or nanotechnology; OR Master's degree in Engineering, Physical Sciences, Computer Science, or a related field and 3+ years of experience in semiconductor processing, semiconductor devices, or nanotechnology; OR PhD in Engineering, Physical Sciences, Computer Science, or a related field.
  • Proficiency in data analysis systems
  • machine learning techniques
  • Optical probing or metrology
  • Expertise in Statistical Process Control (SPC) and Design of Experiments (DOE) principles

Nice to have

  • PhD in Engineering, Physical Sciences, Computer Science, or a related field and 2+ years of experience in semiconductor processing, semiconductor devices, or nanotechnology.
  • fault isolation, failure analysis tools, and techniques such as electrical testing, and layout studies.
  • collaborate in cross-functional teams and matrixed organizations.
  • project management skills
  • semiconductor physics and advanced device interactions modeling.
  • semiconductor equipment maintenance and troubleshooting.
  • develop and present yield strategies to technical and business stakeholders.
  • yield modeling methodologies

What the JD emphasized

  • machine learning techniques
  • yield models
  • yield limiters
  • yield detractors
  • yield strategies

Other signals

  • develop multivariate algorithms for high-volume data analysis
  • extract insights from structured and unstructured data using machine learning
  • develop tools and systems that transform manufacturing data into actionable yield improvement strategies