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As a DRAM Design Senior Layout Engineer, you will develop IP layouts for DRAM chips, ensure layout verification and quality checks, manage project timelines, guide junior members, and collaborate with global engineering teams.

As an Onboarding Program Manager at Micron Technology, you will enhance the onboarding experience for new hires through data-driven insights and best practices. Your responsibilities include designing onboarding processes, facilitating orientation, managing global partnerships, and utilizing AI platforms to improve onboarding efficiency.

As a Senior Layout Designer in the DRAM Engineering Group, you will be responsible for translating schematics into layouts for fabrication reticules. This role involves applying various layout techniques for both digital and analog circuits, understanding circuit design protocols, and managing logistics to meet project deadlines.

The Data Science Manager at Micron Technology will lead efforts in smart manufacturing through data science strategies and applications. Responsibilities include developing smart manufacturing applications, providing technical consulting, solving application issues, and keeping updated with data science trends. The role also involves working with teams to build machine learning models and integrating them effectively into existing systems.

The Senior Layout Engineer role at Micron involves providing IP Layout solutions for DRAM products, focusing on custom analog and digital layout, I/O and ESD layout, and project management. The position requires technical knowledge in layout processes and communication skills for cross-site collaboration.

The Senior L&D Specialist at Micron Technology is responsible for partnering with leaders and stakeholders to deliver leadership development solutions, assess and close performance gaps, facilitate engaging programs, and manage tools and systems to support organizational needs.

The Data Scientist will develop and implement AI/ML models to improve semiconductor manufacturing processes, managing the data science project lifecycle, collaborating with teams, and communicating insights to both technical and non-technical partners.