Yield Development Engineer

Intel Intel · Semiconductors · Arizona, Phoenix, United States

This role focuses on driving manufacturing excellence and yield improvements in semiconductor packaging through data-driven initiatives, advanced analytics, and model-based problem solving. The engineer will extract insights from manufacturing data, monitor yield performance, and communicate findings to shape manufacturing decisions.

What you'd actually do

  1. Lead comprehensive yield improvement initiatives by defining strategic yield roadmaps and executing data-driven solutions using advanced analytics, model-based problem solving, and deep manufacturing process knowledge.
  2. Extract critical insights from diverse data ecosystems including inline tool data, metrology imaging, electrical test results, and lab characterization data.
  3. Take ownership of factory yield performance by monitoring real-time yield metrics, responding swiftly to daily yield loss events, and developing proactive preventative measures.
  4. Prepare comprehensive yield reports, communicate key insights across multiple organizational forums, and recommend strategic actions that shape manufacturing decisions at the highest levels.

Skills

Required

  • Advanced technical degree (Bachelor's with 4 years of experience, Master's or Ph.D. in Physics, Mechanical Engineering, Material Science, Electrical Engineering, Chemistry, or related Engineering discipline)
  • Data analytics expertise using Python and/or JMP
  • Proficiency in essential data science libraries (i.e. NumPy, Pandas, SciPy, Matplotlib, Scikit-learn, TensorFlow, PyTorch)

Nice to have

  • Process fundamentals mastery
  • Cross-functional leadership
  • Independent execution excellence
  • Manufacturing experience in wafer-level and/or package assembly operations