Product Yield Engineer

Intel Corporation

. Develop methods, processes, and systems to consolidate and analyze diverse big data sources for defect mode understanding and yield modeling .

Posted 9/24/2026full-timeUnited StatesJuniorMid-Level💰 $141,910 - $269,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in developing methods and systems for big data analysis, statistical analysis, and machine learning applications in semiconductor processes. Strong ability to collaborate across teams to resolve yield issues and enhance manufacturability.

Highest-signal resume keywords

Ph.D. In Semiconductor Science-Related STEM DegreeAdvanced Semiconductor Devices And Process FlowData Analysis Systems And Software ToolsYield Projection With EOL SignalsProject/Program Management Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisMachine LearningData VisualizationMultivariate AlgorithmsProcess Development RoadmapsDefect Mode UnderstandingRoot-Cause AnalysisMeasurement RecipesAI/ML ApplicationsCoding Techniques

Soft Skills

CollaborationTrainingProblem-Solving

Industry Keywords

SemiconductorYield ModelingDesign Of ExperimentsManufacturabilityProcess ChangesMatrix StructuresProduct Integrity Feedback

About the role

Key responsibilities & impact

Develop methods, processes, and systems to consolidate and analyze diverse big data sources for defect mode understanding and yield modeling
Perform statistical analysis, create visualizations, and construct process development roadmaps
Extract insights from structured and unstructured data using advanced statistics, machine learning, and coding techniques
Organize and interpret fab process, defect, and electrical data; identify anomalies and drive process changes
Develop multivariate algorithms and tools to identify root-cause yield limiters and recommend process changes
Collaborate with design teams to resolve yield issues and ensure manufacturability
Execute new product introductions and enable design-technology co-optimization
Participate in design of experiments with factory task forces
Develop measurement recipes for rapid product-integrity feedback
Create and harden systems for leading-edge logic nodes with equipment vendors and internal collaborators
Develop AI/ML applications and computational tools connecting design and manufacturing
Document technical procedures, train colleagues, and debug equipment, software, and procedural failures in production environments

Requirements

What you’ll need

Ph.D. in semiconductor science-related STEM degree in engineering, physical science, computer science, or related field
2+ years of experience in advanced semiconductor devices and process flow
Preferred: 2+ years of experience with data analysis systems and software tools
Preferred: 2+ years of experience in yield projection with EOL signals and in-line parameters
Preferred: Project/program management experience
Preferred: Proven track record working across organizations through matrix structures

Benefits

Comp & perks

Competitive pay
Stock bonuses
Health benefits
Retirement benefits
Vacation benefits