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As an AI/Data Science Intern in NAND Device Engineering, you will develop AI-driven automation workflows, intelligent decision-support tools, and data pipelines to enhance engineering processes in NAND technology.

Perform electrical and physical failure analysis for device anomalies and returns using advanced FA tools (FIB/EDX, SEM, X-ray, micro-prober). Analyze test data with Bash/Python in Unix, identify failure mechanisms, develop FA techniques, drive continuous improvement, maintain lab safety/6S standards, prepare FA reports, present findings, mentor technicians, and apply AI, automation, and data analytics to optimize workflows.

Optimize and establish semiconductor process conditions, set equipment parameters, evaluate new equipment/materials, reduce production cost, perform data analysis and root-cause investigations, and integrate AI-assisted tools to improve process efficiency and quality.

Design, build, and deploy end-to-end production AI applications for smart manufacturing: data pipelines, model training/inference, APIs, web/mobile front-ends, digital twins, robotics integration, containerized edge/cloud deployments, GPU inference optimization, Responsible AI, and 3D simulation validation.

Lead AI-enabled cost transformation across procurement and manufacturing. Own product backlog and roadmap, define requirements with data scientists and engineers, prioritize AI/Generative AI cost use cases, drive delivery, measure before/after savings, and embed workflow optimizations into daily operations.

Lead mechanical construction engineering for global semiconductor facility projects across design, construction, commissioning, and operations. Provide technical support, review designs, manage scope/schedule/cost/quality, resolve construction issues, support estimating and business cases, coordinate cross-functional teams, drive continuous improvement and sustainability, and integrate AI-assisted tools into engineering workflows.

Senior Engineer for Water within Global Facilities Engineering provides technical leadership for UPW, WWT, and waste chemical systems across global semiconductor sites. Develops standards, supports design and construction, drives standardization and sustainability programs, applies AI/digital tools for optimization, and leads reliability and capacity initiatives.

Lead and manage global portfolio and projects for OCT and Network, aligning objectives with company goals. Drive standardized program execution, recruit SMEs, deploy metrics, mentor project managers, and implement AI-enabled WBS, risk management, and communication. Coordinate across fabs, PMO, and central teams to track progress, manage risks and budgets, and promote continuous process and training improvements.

Design, build, and ship end-to-end production AI applications for smart manufacturing: data pipelines, model training/inference, APIs, web/mobile front-ends, on-prem/edge deployment, MLOps, monitoring, Responsible AI, and integration with robotics and MES.

Provide technical leadership and field expertise for chemical and slurry facilities systems across global semiconductor sites. Develop and standardize global systems, specifications, and BKMs; support design, construction, cost/schedule estimates, and operations; lead global programs including sustainability and AI/digital initiatives; benchmark best practices; and travel internationally to support projects and site activities.