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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.
As a senior principal engineer, recognized as a domain expert who sets, influences, and drives technical direction across Intel and industry.
Develops and mentors others, grows the technical community, acts as a change agent, and role models Intel values.
Aligns organizational goals with technical vision, formulates technical strategy to deliver leadership solutions, and demonstrates a track record of relentless execution in bringing products and technologies to market.
MinimumQualifications:
Candidate must possess a bachelor's degree, Master's degree or Ph.D. Degree in Electrical Engineering, Material Science, Chemical Engineering, Microelectronics Engineering, Mechanical Engineering, Optical Engineering, Chemistry, Physics
OR
Related field and 10+ years of experience in Yield data analytics skill (data query, cleaning/sanity check, preparation, data analysis/statistical method (via JMP), visualization, drawing conclusion)/ Wafer fab environment on Semiconductors, Device and Yield Analysis tools
Preferred Qualifications:
10+ years of relevant experience in 300mm startup and ramp of advanced logic process technologies; and planning/execution of a yield enhancement roadmap.
Experience working with Yield Analysis tools (techniques and systems), Process Engineering knowledge, Process Control, device knowledge, materials analysis techniques and Fault Analysis Layout sensitivities to identify Product Yield issues and drive EOL Yields to Best in Class.
Knowledge of module tool impacts to defects, inline parametrics and yield through PM life while understanding upstream and downstream impacts to other tools.
Skills to develop continuous improvement projects at module level to improve process to give reliable, High yielding, cost effective products.
Candidate should possess the following
behavioral skills:
Problem-solving technique with strong self-initiative and self-learning capabilities. Comfortable working with a high degree of autonomy
Ability to work with multi-functional, multi-cultural teams.
Must demonstrate excellent communications skills and the ability to distil complex information in to easily understandable messages.
Must possess a high degree of ownership for problems with a high tolerance for ambiguity.
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