Ocotillo Technology Fabrication Defect Metrology Equipment Engineer

Intel•Chandler, AZ

11d•Onsite

About The Position

Intel is seeking a highly motivated engineer to sustain, ramp, and transfer technology nodes in Arizona. The role supports continuous improvement in safety, quality, yield, reliability, cost, process stability and capability, and productivity while maintaining rigorous quality control. Intel Foundry is investing in defect metrology technology and an inline monitoring initiative that uses real-time data to accelerate yield learning. As a Defect Metrology Equipment Engineer, you will optimize and maintain metrology systems used in manufacturing. You will work with equipment development, operations, automation, and manufacturing teams to strengthen yield systems and protect product integrity. The position involves analyzing manufacturing and experimental data, developing systems and algorithms for high-volume data analysis, improving equipment performance for leading-edge logic nodes, and applying AI/ML to patterning solutions and design efficiency.

Requirements

At least 3 months of experience with yield and defect metrology equipment, such as KLA, AMAT, ASML HMI, TEL, Keysight, Advantest, or Hitachi.
Bachelor’s degree in Electrical Engineering, Microelectronics Engineering, Material Science Engineering, Chemical Engineering, Mechanical Engineering, Optical Engineering, Statistics/Data Science, Chemistry, Physics, or a related field, and at least 2 years of relevant experience; or a master’s degree in one of these fields or a related field and at least 1 year of relevant experience.
Experienced-hire position.
The posting lists an on-site presence as required.

Nice To Haves

Advanced degree and at least 2 years of applications experience with defect metrology tools.
Knowledge of semiconductor fabrication and processing techniques, including lithography, etch, CMP, thin films, or plating.
Knowledge of Statistical Process Control, design of experiments (DOE), and statistical data analysis; examples include JMP/JSL, Python, and SQL.
Programming experience with JMP/JSL, Python, R, or SQL.
Experience in laser optics, scanning electron microscopy, digital signal processing, or image processing.
Experience in technical documentation, training, and project management.
At least 3 years of new-technology startup experience.
At least 3 years of relevant process or yield engineering experience.
Strong technical and troubleshooting skills.
Experience in a manufacturing environment or in metrology.
Exceptional customer orientation.
Ability to work across organizational boundaries, including with process engineering, integration, and yield teams.
Good communication skills and a high tolerance for ambiguous and changing situations.

Responsibilities

Perform statistical analysis and develop visualizations to create process development roadmaps.
Develop methods and systems to analyze diverse big data sources and support yield modeling and process roadmap definition.
Develop and maintain systems for faster interpretation of fab process, defect, and electrical data to drive yield-enhancing process changes.
Turn experimental and manufacturing data into yield-improvement actions.
Analyze process and product designs to ensure manufacturability.
Execute new product introductions and participate in design of experiments.
Develop tools and algorithms for high-volume data analysis to identify yield limiters.
Harden equipment systems to meet operational needs for leading-edge logic nodes.
Develop AI/ML applications to improve patterning solutions and design efficiency.
Collaborate with internal teams to ensure data integrity and implement custom algorithms.