Data-Driven Yield & Process Integration Engineer

Intel Corporation; Albuquerque (NM); On-site; USD 131,000 - 171,000; Full time

Job summary

Intel is hiring a Process Integration and Yield Engineer to drive yield improvements, quality standards, and manufacturing excellence across cutting-edge technologies. You will apply advanced data analysis, statistics, and machine learning to identify root causes of yield and quality issues affecting product performance.

Responsibilities include conducting failure analysis, developing new methodologies, and collaborating with design, product engineering, and manufacturing to ensure readiness for

Qualifications

• PhD in Electrical/Electronic Engineering, Computer Engineering, or STEM field.
• Experience with yield analysis, failure analysis, and manufacturing processes.
• Strong data analysis, machine learning, and cross-functional collaboration.

Responsibilities

• Conduct yield and failure analysis to identify root causes and improve yield and reliability.
• Analyze data using statistics, ML, and data mining to obtain actionable insights.
• Develop methodologies to improve analysis quality and manufacturing efficiency.
• Collaborate with design, product engineering, and manufacturing to solve technical challenges.
• Lead continuous improvement and quality programs to optimize performance.

Skills

Data analysis

Statistical methods

Machine learning

Education

PhD in Electrical/Electronic Engineering or Computer Engineering

Job description

Intel is hiring a Process Integration and Yield Engineer to drive yield improvements, quality standards, and manufacturing excellence across cutting-edge technologies. You will apply advanced data analysis, statistics, and machine learning to identify root causes of yield and quality issues affecting product performance.

Responsibilities include conducting failure analysis, developing new methodologies, and collaborating with design, product engineering, and manufacturing to ensure readiness for