Yield Analytics Engineer

This role requires regular onsite presence to fulfill essential job responsibilities. Defines roadmaps to meet requirements, goals and milestones for incoming technology transfer. Defines and establishes flow, procedures, and equipment configuration for the module. Extracts insights from structured and unstructured data by quickly synthesizing large volumes of data, and applying statistics and machine learning, and may using coding techniques (e.g. SQL, python, etc.) primarily, but could also include programming languages (i.e. .net). Owns sustaining and continuous improvement of quality and integrated defect and parametric measurements in startup and high volume manufacturing environment. Drives low yield analysis and yield improvement activities with both internal and external stakeholders. Ensures continuous improvement programs are in place to prevent quality, line yield, and sort yield excursions. Performs quality and reliability risk assessments for potentially discrepant manufacturing material as well as for process changes.

Basic Qualifications:

• Must have a Bachelor, or MS in Mechanical/Electrical/Electronic Engineering, Computer Science, Information System or Chemistry/Physics and at least 5 years of Assembly and Test or semiconductor processing experience.
• Experience with writing scripts for data extraction and analysis (SQL, Perl, JSL, python, etc.).
• Self motivated and self directed to learn and find sources of knowledge and information required to perform work.
• Must have demonstrated track-record of proficiency in working in a high-performing team culture which includes excellent teamwork and leadership skills, excellent written and verbal communication skills, demonstrated problem solving and the ability to prioritize work in an ambiguous environment.

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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