Drive Manufacturing Excellence Through Data-Driven Yield Innovation
Join Intel's Advanced Packaging Technology and Manufacturing (APTM) Yield Organization as a Yield Development Engineer and become the catalyst for breakthrough yield improvements across cutting-edge packaging technologies! You'll be the strategic problem-solver who transforms complex manufacturing data into actionable insights that directly impact production excellence and drive next-generation semiconductor packaging success.
What You'll Accomplish
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. Working in close collaboration with Process modules, Integration teams, and key stakeholders, you'll be the technical expert who bridges theory and practice to deliver measurable yield enhancements.
Extract critical insights from diverse data ecosystems including inline tool data, metrology imaging, electrical test results, and lab characterization data. Your analytical expertise will uncover hidden patterns and root causes that drive systematic yield improvements across APTM's most advanced packaging technologies.
Real-Time Impact & Strategic Leadership
Take ownership of factory yield performance by monitoring real-time yield metrics, responding swiftly to daily yield loss events, and developing proactive preventative measures. You'll prepare comprehensive yield reports, communicate key insights across multiple organizational forums, and recommend strategic actions that shape manufacturing decisions at the highest levels.
Ready to Shape Manufacturing Excellence?
If you're passionate about solving complex technical challenges, thrive in collaborative environments, and want to see your analytical insights directly improve world-class manufacturing operations, this is your opportunity to drive yield innovation that impacts global semiconductor production.
Apply now and become the yield expert who transforms data into manufacturing breakthroughs!
Minimum Qualifications
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 - Experience in data analytics using Python and/or JMP with proficiency in essential data science libraries (i.e. NumPy, Pandas, SciPy, Matplotlib, Scikit-learn, TensorFlow, PyTorch)
Preferred Qualifications
Process fundamentals mastery -Process fundamentals, tool behaviors, and underlying physics; construct hypothesis-driven model tables and systematically solve complex yield challenges
Cross-functional leadership - Direct cross-functional teams, work effectively across organizational boundaries, and proactively drive stakeholder conversations for yield improvements
Independent execution excellence - Self-driven with minimal supervision, exceptional communication skills, comfort with ambiguity, effectiveness in fast-paced environments, and strong ownership mentality
Manufacturing experience - Experience in wafer-level and/or package assembly operations with familiarity of process flows, manufacturing tools, and common yield issues
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