Yield Optimization Engineer - Hybrid, Data-Driven

Intel Corporation

Chandler (AZ)

Hybrid

USD 115,000 - 220,000

Full time

2 days ago
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Benefits offered by this job

Competitive pay
Stock bonuses
Benefits package

Job summary

Intel Corporation’s Yield Organization seeks a Yield Development Engineer to analyze manufacturing data, build statistical models, and drive process improvements to enhance yield and manufacturability of advanced semiconductor technologies.

Collaborating across design, test, and production teams, you will develop tools, run design of experiments, and create measurement recipes to resolve yield issues and support ramp readiness in a hybrid US-based role.

Qualifications

  • Bachelor's degree in Materials Science and Engineering, Mechanical Engineering, Chemical Engineering, Electrical Engineering, or Chemistry/Physics with relevant experience.
  • Experience combining engineering analysis tools, data analysis, and scripting for automation of analytical tasks.
  • Proficiency in Python, SQL, and JMP for big data analysis and dashboard creation.

Responsibilities

  • Analyze manufacturing and experimental data to identify yield limiters and recommend process changes for yield improvement.
  • Develop statistical models and visualizations to construct accurate process development roadmaps.
  • Consolidate and analyze diverse big data sources using coding techniques, machine learning, and statistical methods to drive actionable insights.
  • Collaborate with cross-functional teams to debug yield limiters in design, test, and process development areas.
  • Perform fault isolation and failure analysis using ATE testing, DFx software, optical probing, logic simulation, and layout studies.
  • Develop tools and methodologies for high-volume data analysis and yield improvement actions.
  • Participate in design of experiments to support new product introduction and manufacturing ramp readiness.
  • Create measurement recipes to enhance product quality and resolve yield-impacting issues.

Skills

Data analysis
Statistical modeling
Communication

Education

Bachelor's degree in a related field
Master's degree
PhD

Tools

Python
SQL
JMP

Job description

Intel Corporation’s Yield Organization seeks a Yield Development Engineer to analyze manufacturing data, build statistical models, and drive process improvements to enhance yield and manufacturability of advanced semiconductor technologies.

Collaborating across design, test, and production teams, you will develop tools, run design of experiments, and create measurement recipes to resolve yield issues and support ramp readiness in a hybrid US-based role.

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