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Yield Development Engineer

Intel Corporation
May 14, 2026
Full-time
On-site
Phoenix, Arizona, United States
$133,800 - $188,890 USD yearly
Process Engineering Jobs, Level - Mid-Career

Job Title

Yield Development Engineer

Role Summary

Responsible for driving yield improvement activities for Advanced Packaging Technology and Manufacturing (APTM) packaging technologies. Works with process modules, integration, and cross-functional stakeholders to analyze manufacturing data, define yield roadmaps, and deploy corrective and preventative actions.

Uses data analytics and model-based problem solving to extract insights from inline tool data, metrology images, electrical test results, and lab characterization; prepares reports and communicates recommendations to stakeholders.

Experience Level

Mid-level β€” typical experience expectation is several years of hands-on manufacturing or data-analytics work (see Education Requirements for degree-to-experience combinations).

Responsibilities

Core responsibilities include monitoring and improving yield across packaging processes and collaborating with stakeholders to resolve yield issues.

  • Define and execute yield improvement roadmaps; lead yield working groups or taskforces.
  • Analyze multiple data sources (inline tool data, metrology images, electrical test, lab characterization) to identify root causes of yield loss.
  • Develop data-driven hypotheses and model-based problem solving approaches linking analysis to process fundamentals and tool behavior.
  • Prepare and present yield reports, communicate key findings and recommended next steps to stakeholders and leadership.
  • Monitor daily yield metrics, respond to yield loss events, and implement proactive/preventative measures.

Requirements

Must-have technical skills and experience (degrees are listed under Education Requirements).

  • Must-have: Hands-on experience with data analytics using Python and/or JMP; familiarity with common Python data-science libraries (NumPy, Pandas, SciPy, Matplotlib, scikit-learn, TensorFlow/PyTorch).
  • Must-have: Experience extracting insights from manufacturing data sources and translating analysis into actionable process improvements.
  • Must-have: Strong problem-solving skills and ability to build hypothesis-driven models and test plans.
  • Nice-to-have: Prior experience with wafer-level or package assembly processes, tools, and common yield issues.
  • Nice-to-have: Experience leading cross-functional teams, running working groups or taskforces, and driving technical resolution across organizations.
  • Professional: Effective verbal and written communication, self-driven, able to work in fast-paced and ambiguous environments.

Education Requirements

Degree and experience combinations required: Bachelor's degree plus 3+ years of relevant experience, Master's degree plus 2+ years of relevant experience, or Ph.D. in Physics, Mechanical Engineering, Materials Science, Electrical Engineering, Chemistry, or a related STEM field (other relevant STEM degrees considered).


About the Company

Company: Intel Corporation

Headquarters: Santa Clara, California, USA

Intel Corporation is a leading multinational technology company known for its innovative semiconductor solutions, including microprocessors, artificial intelligence accelerators, and memory products. Headquartered in the United States, Intel focuses on cutting-edge technology and a collaborative working environment, driving advancements in semiconductor manufacturing to meet global demands. The company emphasizes professional development and aims to shape the future of technology through groundbreaking designs.

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Date Posted: 2026-05-14