Yield Analysis Engineer – Data-Driven Semiconductors

Intel; Phoenix (AZ); On-site; USD 104,000 - 199,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Vacation

Job summary

Intel in the United States (Arizona, Phoenix) seeks a Yield Analysis Engineer to identify and solve yield and reliability challenges. You will analyze complex test data, perform failure analysis, and develop characterization techniques to improve manufacturing processes and product quality.

The role requires deep expertise in semiconductor manufacturing, statistics, and data analytics, with opportunities to advance NPIs and high-volume manufacturing efficiency in a global organization.

Qualifications

• Background in yield analysis, failure analysis, or process integration in semiconductor manufacturing.
• Statistics and data analytics (yield modeling, SPC, DOE, correlation analysis).
• Wafer sort testing, defect metrology, E test, and/or fab data systems.

Responsibilities

• Conduct yield analysis and failure investigations to identify root causes and improve yields and reliability.
• Analyze end-of-line test data, process parameters, and electrical measurements using statistical tools for insights.
• Develop and implement advanced characterization techniques to enhance failure analysis efficiency and precision.
• Perform electrical failure analysis (EFA) to address yield limiters across product development and manufacturing.
• Collaborate across teams to segment issues related to process, test marginalities, and product operation.

Skills

Statistics

Data analytics

Yield analysis

Failure analysis

Process integration

Cross-functional collaboration

Education

Bachelor's degree in Electrical Engineering or related STEM field

Master's degree in Electrical Engineering or related STEM field

Ph.D. in Electrical Engineering or related STEM field

Tools

Python

SQL

JMP

Job description

Intel in the United States (Arizona, Phoenix) seeks a Yield Analysis Engineer to identify and solve yield and reliability challenges. You will analyze complex test data, perform failure analysis, and develop characterization techniques to improve manufacturing processes and product quality.

The role requires deep expertise in semiconductor manufacturing, statistics, and data analytics, with opportunities to advance NPIs and high-volume manufacturing efficiency in a global organization.