Join the Tapeout team and be a part of the Silicon Manufacturing chain at Intel. Tapeout is the first step in Silicon Manufacturing of all chips and technologies at Intel. Tapeout computational transforms are used to optimize chip fabrication and intersect Silicon Photolithograpy, Photomask Technology, Chip Design, and High-Performance Computing. This is a software engineering position with the primary responsibility of developing and supporting applications, infrastructure, and data factories that enable secure processing and transformation of patterning data on a large scale, the automation of compute processes, and optimization of compute cost and stability. Your responsibilities will include but not be limited to: - Development or enhancement of automation applications that improve tapeout control, throughput, and quality. Applications may be Linux, Windows, or Web based and encompass a wide range of tapeout use cases. - Development of and maintenance of secure systems and methodologies that isolate and protect sensitive data. - Identification and reduction of integrated failure modes across tapeout operational systems / applications through the development and maintenance of automated validation capability. - Application CI/CD and qualification through test plan development, implementation of quality control procedures, data analysis, and regression test creation. - Perform software and data factory requirements discovery, functional specification, and project planning using Agile and Waterfall principles. - Working with adjacent engineering teams to define project plans, communicate status, and construct retrospectives for continuous improvement. - Configure and support automation systems to enable tapeout operations and product fabrication.The ideal candidate must exhibit the following behavioral traits: - Effectively communicating and collaborating with team members. - Willingness to work in a dynamic environment. - Analytics and problem-solving skills to communicate complex data in a simple, actionable way
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Job Type
Full-time
Career Level
Mid Level