Yield Development Engineer

Intel Corporation•Chandler, AZ

1d•Onsite

About The Position

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.

Requirements

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)

Nice To Haves

Process fundamentals, tool behaviors, and underlying physics; construct hypothesis-driven model tables and systematically solve complex yield challenges
Direct cross-functional teams, work effectively across organizational boundaries, and proactively drive stakeholder conversations for yield improvements
Self-driven with minimal supervision, exceptional communication skills, comfort with ambiguity, effectiveness in fast-paced environments, and strong ownership mentality
Experience in wafer-level and/or package assembly operations with familiarity of process flows, manufacturing tools, and common yield issues

Responsibilities

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.
Extract critical insights from diverse data ecosystems including inline tool data, metrology imaging, electrical test results, and lab characterization data.
Take ownership of factory yield performance by monitoring real-time yield metrics, responding swiftly to daily yield loss events, and developing proactive preventative measures.
Prepare comprehensive yield reports, communicate key insights across multiple organizational forums, and recommend strategic actions that shape manufacturing decisions at the highest levels.