Data-Driven Yield & Process Integration Engineer

PVH (Tommy Hilfiger/Calvin Klein); Albuquerque (NM); On-site; USD 165,042 - 198,820; Full time

Job summary

Intel is seeking a Process Integration and Yield Engineer in Albuquerque, NM. You will drive yield improvements, quality standards, and manufacturing excellence using advanced data analysis, statistics, and cross-functional collaboration across design, product engineering, and manufacturing teams.

Responsibilities include failure analysis, developing innovative methodologies, and leading technology transfer from development to high-volume manufacturing to ensure readiness and continuous

Qualifications

• Master's degree or foreign equivalent in STEM and 3 years of experience in yield/quality engineering or related field.
• Bachelor's degree with 5 years of experience in yield/quality engineering or related field.

Responsibilities

• Conduct yield and failure analysis to identify root causes and implement solutions.
• Analyze data using statistical methods, ML, and data mining to extract insights.
• Develop methodologies to improve analysis quality, efficiency, and manufacturing processes.
• Collaborate with design, product engineering, and manufacturing to resolve technical challenges.
• Drive continuous improvement and implement quality programs to optimize manufacturing performance.

Skills

Yield analysis

Data analysis

Statistical methods

Machine learning

Cross-functional collaboration

Education

Master's degree in Material Science/Engineering

Bachelor's degree in Material Science/Engineering

Tools

Python

SQL

Data mining

Job description

Intel is seeking a Process Integration and Yield Engineer in Albuquerque, NM. You will drive yield improvements, quality standards, and manufacturing excellence using advanced data analysis, statistics, and cross-functional collaboration across design, product engineering, and manufacturing teams.

Responsibilities include failure analysis, developing innovative methodologies, and leading technology transfer from development to high-volume manufacturing to ensure readiness and continuous