Operator 2, Quality Assurance

职位概述 负责深圳福田工厂磁带磁头产品的质量检验工作，确保产品符合西部数据质量标准。需具备精密操作能力及高度责任心。 主要职责 1、质量检验： （1）执行来料检验（IQC）、过程检验（IPQC）及出货检验（OQC） （2）操作光学显微镜、尺寸测量仪器及电气测试设备进行产品检验 （3）识别并记录缺陷（划伤、污染、ABS损伤、焊点异常等） 2、数据记录 （1）在 SAP / MES 系统中准确录入检验数据及缺陷记录 （2）发现异常质量趋势时及时向工程师汇报 3、设备维护 （1）执行设备日常点检及基础保养 （2）确保所有量规及仪器在校准有效期内 4、不合格品管理 （1）识别、标识并隔离不合格品（NCM） （2）协助工程师收集失效分析（FA）样品 5、合规与改善 （1）严格遵守 SOP、ESD 防护规范及洁净室操作要求 （2）参与 5S、Kaizen 及 CAPA 相关活动 任职资格 1、中专/职高/高中及以上；大专优先。 2、机械、电子、质量管理或相关专业。 3、有2–3年精密制造或QA检验经验；优秀应届生可培训。 4、显微镜操作、基础测量工具、SAP/Excel 基础。 5、视力良好，手部操作稳定。 6、可接受轮班；ESD及洁净室操作意识强。 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email . 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.