Senior Engineer, Wafer Quality Assurance

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Senior Engineer, Wafer Quality AssuranceFull-timeJob Type (exemption status): Exempt position - Please see related compensation & benefits details belowSalary Range: 81,000.00-108,000.00Business Function: Quality Assurance EngineeringWork Location: San Jose Great Oaks Headquarters--LOC_WDT_USCA23Company DescriptionWD 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.Job DescriptionESSENTIAL DUTIES AND RESPONSIBILITIESAI Platform Change Control & Quality Assurance: Serve as the quality gatekeeper for AI platform changes. Develop a deep understanding of system interdependencies, drive requirements gathering (including testing and verification protocols), and collaborate closely with wafer operations partners to ensure seamless, quality-compliant implementations.End-to-End Wafer Quality Program Support: Support the full lifecycle of wafer quality initiatives, including Change Review Board (CRB) margin projects and Material Review Board (MRB) processes, ensuring consistent quality standards from start to finish.Agentic AI Development for Quality Operations: Design and build Agentic AI solutions with autonomous decision-making capabilities for Incoming Quality Assurance (IQA) and Outgoing Quality Assurance (OQA) processes across wafer operations.Failure Mode & Effects Analysis (FMEA): Lead and facilitate FMEA activities across IT and wafer systems to proactively identify, assess, and mitigate potential failure modes and their impact on quality and reliability.QualificationsREQUIREDBachelor's degree in Engineering, Computer Science, Data Science, or a related technical field (Master's preferred)3+ years of experience in quality assurance, quality engineering, or a related role within semiconductor or wafer manufacturingWorking knowledge of AI/ML platforms and an understanding of change control processes in production environmentsExperience with or exposure to Agentic AI, LLM-based systems, or intelligent automation frameworksFamiliarity with FMEA methodology and its application to IT and manufacturing systemsStrong cross-functional collaboration skills with the ability to engage both technical and operations teamsExcellent analytical and problem-solving skills with a detail-oriented mindsetSKILLSExcellent communication and presentation skillsExperience with end-to-end quality management in semiconductor manufacturingHands-on experience developing AI agents or decision-automation tools (e.g., using Python, LangChain, or similar frameworks)Salary Range: 81,000.00-108,000.00Additional InformationWestern Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition,...