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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.
Master or Ph.D. degree in electrical engineering, Physics, Material Science or a related field is required.Strong focus on device engineering, process integration, yield improvement and problem solving.Candidate should have strong project management skills, good influence and communication skills.Flexibility and maturity in dealing with uncertainties and prioritization. Commit to aggressive goals with a can-do spirit.We offer 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 BenefitsThis role will require an on-site presence.These jobs might be a good fit