In this role, youresponsibilities will include:
Develop methods, processes, and systems toconsolidateand analyze diverse products,establishingoptimalmethodologies for defect mode detection, understanding, and yield modeling.
Organize, interpret, and structure insights fromfabprocess, defect, and electrical data, detect data anomalies, and drive process changes for yield enhancement.
Extract insights from structured and unstructured data by synthesizing large volumes of data and applying statistics, machine learning, and coding techniques.
Develop systems to transform complex experimental and manufacturing data into yield improvement actions using knowledge of product design and test features.
Ensure manufacturability over process and product design, working with computational and modeling technology to highlight process and spec corners.
participatein design of experiments in factory task forces.
Develop tools, multivariate algorithms, and methodologies to perform high-volume data analysis toidentifyroot cause yield limiters and key process changes.
Develop measurement recipes to provide quick andaccuratefeedback on product integrity.
Develop computational tools and AI/ML applications to improve patterning solutions, decrease process debug time, and improve design efficiency.
Work on solution exploration, technical design, implementation, deployment in a production environment, and maintenance of deployed solutions.
Create innovative solutions to problems, collaborate with internal teams to ensure data integrity, implement custom algorithms, and develop efficient software solutions.
Debug software-related issues in the production environment, occasionally requiring off-hour urgent
You mustbelow minimum education requirementsand minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience.preferred qualifications are in addition to therequirements and are considered a plus factor in
Minimum Qualifications:
Bachelor’s Degree with 4+ years of experience, OR Master’s Degreewith3+ years of experience or PhD, inEngineering, Physics, Material Science, Computer Science, or related STEM field withsoftware focus
+ years of relevant experience inProgramming (C++/Python/SQL), data analysis, DB architecture, and/or dataflow development, GitHub, semiconductor devices and circuits, semiconductor device physics, or semiconductor product design
Ability to obtain andmaintainan Active US Government Top Secret (TS) Security Clearance with SCI access.
US Citizenshiprequired
Preferred Qualifications:
Active US Government Security Clearance.
Experience with data analysis systems and software tools.
in semiconductor physics and processing.
Experience in semiconductor product design and infrastructure.
Demonstrated experience with Statistical Process Control (SPC) or Design of Experiments (DOE) principles.
Experience working with external and internal partners.
Experience with data structure libraries (e.g., Immutable.js).
Experience in data systems infrastructure for big data applications
Weoffer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:
Annual Salary Range for jobs which could be performed in the US:
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
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