Staff Engineer, Wafer Quality Assurance

About the role

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.

Responsibilities

• Perform wafer paper failure analysis (FA) and provide disposition for issues flagged by customers.
• Facilitate wafer manufacturing readiness review (MRR) and process design readiness (PDR) review meetings.
• Drive 8D closure with corrective action and preventive action (CAPA) implementations to prevent reoccurrence.
• Failure Mode & Effects Analysis (FMEA): Lead and facilitate FMEA activities across wafer fab to proactively identify, assess, and mitigate potential failure modes and their impact on quality and reliability.
• Partner with process, equipment, manufacturing, and data engineering teams to implement automated quality surveillance and anomaly detection solutions.
• Drive digitalization initiatives that improve CAPA effectiveness, root cause identification, and risk assessment processes.
• Evaluate and integrate generative AI and digital agent technologies to enhance engineering productivity, knowledge management, and quality decision‑making.
• Drive adoption of AI‑powered quality engineering tools to increase engineering productivity, accelerate defect detection cycle times, and transition the organization from reactive quality management to predictive quality — anticipating and preventing excursions before they impact yield or customer deliverables.
• Participate in developing and deploying AI‑assisted quality monitoring solutions for Change Review Board (CRB), Material Review Board (MRB), Failure Analysis (FA), and FMEA activities.

Requirements