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The IT Engineer (Data Services) is responsible for database system management, performance tuning, compliance, incident resolution, and automation of database operations.

The role involves leading scenario studies for strategic operations, optimizing processes, managing cross-department projects, and delivering data analytics to support operational excellence at Micron.

As a Global Planning Modeling Engineer, you will optimize manufacturing processes, manage capacity models, conduct financial analyses, and enhance reporting tools to drive operational efficiency.

The role involves applying industrial engineering principles to develop forecasting models, collaborating across departments for improvement, and communicating analysis impacts on operations.

The Staff Engineer will provide technical support for mechanical systems, manage construction projects, ensure alignment with global standards, and drive sustainability initiatives and operational excellence.

This role involves developing procurement strategies, driving category initiatives, managing supplier relationships, and utilizing advanced analytics to optimize outcomes. Collaboration with stakeholders is essential to deliver effective solutions and strategic sourcing direction.

As a Data Science Engineer, you'll analyze big data, develop models, deploy solutions, and communicate insights to improve products and services.

Lead and grow a team of CMP and BTG engineers to develop and transfer CMP/BTG process modules for 3D NAND. Drive process characterization, DOE-based optimization, process margin and manufacturability improvements, supplier partnerships, pilot ramp/yield support, and adoption of data analytics/AI for predictive modeling and process control.

This role involves hands-on data visualization, analysis, and process improvement in semiconductor manufacturing. Candidate will work on reliability testing and collaborate with quality teams to enhance NAND flash products.

Lead Micron's Physical AI strategy to integrate robotics, AMRs, tool automation and AI/ML with MES for autonomous, scalable manufacturing. Drive pilots to high-volume deployment, partner across global FE/AT sites, build multidisciplinary teams, set KPIs, and collaborate with vendors and research partners to deliver productivity, cost, safety, and cycle-time improvements.