Yield Development Engineer

Job Description

Embark with us on a journey of growth and transformation as we create exceptionally engineered technology and bring AI everywhere. As a valued team member, your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision.

Join us and build on our legacy of innovation and collaboration as we deliver world-changing technology that improves the life of every person on the planet.

Life at Intel

The Yield Development Engineer’s responsibilities include but are not limited to:

• Provides process development direction throughout the whole lifecycle of a technology node by identifying root cause yield limiters.
• Performs statistical analysis, develops visualizations and presentations to construct accurate process development roadmaps that drive technology yield milestones.
• Develops methods, processes, and systems to consolidate and analyze diverse big data sources, establishing optimal methodologies for defect mode understanding and yield modeling, leading to accurate yield Pareto construction and process roadmap definition.
• Organizes, interprets, and structures insights from fab process, defect, and electrical data and detects data anomalies and drives process changes for yield enhancement.
• Extracts insights from structured and unstructured data by quickly synthesizing large volumes of data, and applying statistics, machine learning and coding techniques.
• Develops systems to transform complex experimental and manufacturing data into yield improvement actions using knowledge of product design and test features.
• Ensures manufacturability over process and product design through thorough analysis of process and spec corners and works with design to resolve yield issues before manufacturing ramp.
• Executes new product introductions, enables design technology co-optimization, and participates in design of experiments in factory task forces.
• Creates cross-functional collaborations across organizations to debug yield limiters in design, test, and process development areas.
• Develops tools, multivariate algorithms, and methodologies to perform high-volume data analysis to identify root cause yield limiters and identify key process changes to advance yield improvement.
• Performs fault isolation and failure analysis to determine the root cause of failures by evaluating the electrical characteristics of the components using various tools and techniques such as ATE testing, DFx software tools, optical probing, logic/circuit simulation, and emulation, probing, and layout study.
• Develop measurement recipes to provide quick and accurate feedback on product integrity, helping resolve issues with yield or product quality impact.
• Develops and hardens equipment capable of meeting operational and capability needs for leading edge logic node.

The ideal candidate must have/be:

• Able to multi-task, communicate and provide clear decisions in a dynamic, fast paced manufacturing environment.
• Ability to manage competing priorities.

Note: This role requires regular onsite presence to fulfill essential job responsibilities. Relocation assistance will be provided if eligible.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and/or internship experience.

Minimum Qualifications:

Candidate must possess any of the following:

• M.S. degree in engineering or science discipline with 3+ years experience in yield engineering.
• Ph.D. in engineering or science discipline such as Physics, Material Science, Chemistry, Chemical Engineering, Mechanical engineering.

Preferred Qualifications:

• Statistical process control (SPC) and design of experiments (DOE) principles and engineering analysis tools
• Demonstrated knowledge of design of experiments, process control methodology, data analysis skills in data analysis tool such JMP, SQL etc.,
• Clean room experience

Posting Statement

Benefits

Working Model

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