Process Integration, Yield, Defect Reduction Engineering Lead

Intel Corporation•Rio Rancho, NM

1d•$120,860 - $231,670•Onsite

About The Position

As a Process Integration and Yield Engineer, you will drive technology improvement and manufacturing excellence by defining process integration roadmaps, analyzing structured and unstructured data, and implementing solutions that enhance quality, yield, and defect reduction. You will work across internal and external teams to support the ramp-up of advanced packaging solutions and sustain high-volume manufacturing processes. The role is part of Intel Corporation's global team advancing technology solutions for high-volume manufacturing and yield improvement. The group integrates innovative processes and drives continuous improvement to deliver high-quality, reliable products.

Requirements

Bachelor's degree in Chemical Engineering, Electrical Engineering, Mechanical Engineering, Material Science, Microelectronics Engineering, Chemistry, Physics, or a related field and 4+ years of experience; or a master's degree in one of these fields and 3+ years of experience; or a PhD in one of these fields and 1+ years of experience.
Experience in semiconductor manufacturing or advanced packaging.
Expertise in process integration, defect reduction, and backend interconnect or advanced packaging processes.
Experience with statistical analysis tools such as JMP, SQL, and statistical process control (SPC).
Experience with Design of Experiments (DOE) principles and Failure Mode Effects Analysis (FMEA).
Strong troubleshooting skills and innovative problem-solving approaches.
Excellent verbal and written communication skills.

Nice To Haves

Experience presenting yield summaries and engaging with external foundry customers.
Demonstrated ability to analyze defects and parametric data to drive yield improvements.
Proven track record in new semiconductor technology development and transfer.

Responsibilities

Define and establish process flows, procedures, and equipment configurations for manufacturing modules.
Extract insights from data using statistical analysis, coding, and machine learning techniques.
Drive yield analysis and defect reduction initiatives to support process improvement.
Conduct quality and reliability risk assessments for manufacturing materials and process changes.
Collaborate with cross-functional teams to ensure successful technology transfer and ramp-up activities.
Develop monitoring systems, dashboards, and methodologies to sustain and enhance manufacturing performance.
Lead low-yield analysis and yield-improvement activities in startup and high-volume manufacturing environments.