Wafer Fab Support Technician

Job description

ESSENTIAL DUTIES & RESPONSIBILITIES: • Support Manufacturing teams with ad hoc projects and operational initiatives. • Collect, analyze, and report data to support manufacturing performance, quality improvements, and business decisions. • Develop and maintain reports, dashboards, and presentations. • Utilize basic programming, data query, and data analytics skills to improve reporting and process efficiency. • Support local IT-related projects, equipment deployments, and technology initiatives. • Manage employee locker assignments, garment hangers and vacuum wands. • Help with cleanroom garments and supplies inventory, ordering, distribution, and store coordination. • Serve as backup support for Wafer Fab Quality Auditors by assisting with inspections, audits, documentation reviews, and compliance activities. • Prepare and maintain operational, quality, and inventory documentation, reports, and records. • Participate in continuous improvement activities focused on safety, quality, efficiency, and cost reduction. • Coordinate with cross-functional teams to support manufacturing operations and site-wide initiatives. • Adhere to all safety, quality, environmental, and cleanroom standards and procedures. REQUIRED: • Ability to learn wafer manufacturing processes and logistics • Proficient in Microsoft Office • Ability to learn SPC, MES and other Manufacturing applications • Must be able to work in a cleanroom PREFERRED: • Expert in Excel and Power Point • Basic skills in programming, data query, and data analytics WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today. We’re looking for people who want to build, solve, and operate at that level. Join us and let’s shape the future of data.