Data-Driven Yield & Process Integration Engineer

Intel; Phoenix (AZ); On-site; USD 175,440 - 198,820; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Vacation

Job summary

Intel is seeking a Process Integration and Yield Engineer to drive yield improvements, quality standards, and manufacturing excellence across advanced semiconductor technologies. You will apply data analysis, statistical methods, and cross-functional collaboration to resolve complex yield and quality issues affecting product performance and reliability.

Responsibilities include conducting yield and failure analysis, developing new methodologies to enhance analysis quality and manufacturing

Qualifications

• PhD required in Material Science & engineering or related STEM field.
• Experience with yield analysis and reliability improvement.
• Strong data analysis, statistics, and problem-solving skills.

Responsibilities

• Conduct yield and failure analysis to identify root causes and implement improvements.
• Analyze structured and unstructured data using statistics, ML, and data mining to derive insights.
• Develop advanced methodologies to improve analysis quality and manufacturing efficiency.
• Collaborate with design, product engineering, and manufacturing to solve technical challenges.
• Lead quality programs and continuous improvement initiatives across production lines.

Skills

Yield engineering

Data analysis

Statistical methods

Machine learning

Process improvement

Cross-functional collaboration

Education

PhD in Materials Science or equivalent engineering

Tools

Data analysis tools

Job description

Intel is seeking a Process Integration and Yield Engineer to drive yield improvements, quality standards, and manufacturing excellence across advanced semiconductor technologies. You will apply data analysis, statistical methods, and cross-functional collaboration to resolve complex yield and quality issues affecting product performance and reliability.

Responsibilities include conducting yield and failure analysis, developing new methodologies to enhance analysis quality and manufacturing