About this role
申请编号: 79178 这是一家立足于突破的公司。加入我们。康宁是全球领先的玻璃、陶瓷和材料科学创新引领者之一。从海洋深处到浩瀚宇宙，我们的技术不断突破可能性的边界。我们是如何做到的？依靠我们的员工。在康宁，我们的员工独树一帜、突破常规——这不仅限于职业生涯的某一时刻，而是每一天，都在帮助推动公司及世界的进步。在康宁，你所做的工作有数之不尽的机会对世界和人类产生积极的影响。你能帮助世界互联互通，驱动汽车的未来，让家庭娱乐更精彩，使救生药品安全送达。你能改变的远不止于此。加入我们，一同突破。
我们的光通信事业部日前已经从光纤和电缆、硬件与设备制造商发展成为了在更加广泛的通信领域提供行业领先光学解决方案的综合服务供应商。这一领域共分为两种主要的产品分组 – 即载波网络和企业网络。载波网络产品分组主要包括适用于以光学为基础之通信基础设施的产品和解决方案，可用于视频、数据和语音通信等服务。企业网络产品分组则主要包括销售给公司、政府和个人自用并且以光学为基础的通信网络。
- Day to Day Responsibility Own and execute product quality assurance (PQA) activities across the product lifecycle, including quality planning, risk assessment, qualification, change control, and ongoing performance monitoring.
- Establish, maintain, and improve QC plans, inspection methods, sampling strategies, acceptance criteria, and reaction plans for incoming materials, in-process production, and finished products.
- Monitor and improve process capability and stability using statistical tools such as SPC, capability analysis, MSA, control charts, trend analysis, DOE, and appropriate statistical modeling.
- Collaborate with Manufacturing, Process Engineering, Equipment Engineering, and other functions to define and maintain quality standards and controls, identify critical process parameters and sources of variation, and improve process capability, robustness, and product quality.
- Lead or support investigation of internal and customer quality issues using structured problem-solving methods, identify root causes, and ensure timely and effective corrective and preventive actions.
- Evaluate product and process changes, identify quality risks, and ensure appropriate validation and control measures are implemented before release.
- Audit quality systems and manufacturing processes, identify gaps, and drive sustainable corrective actions and compliance with applicable requirements.
- Prepare and communicate quality performance, risks, trends, and improvement priorities to stakeholders in a clear, timely, and proactive manner.
- Analyze large and complex manufacturing and quality datasets to identify trends, correlations, abnormal patterns, sources of variation, and improvement opportunities.
- Integrate product test results with process parameters, equipment conditions, and material information to support fact-based root cause identification, risk prediction, and process optimization.
- Develop effective data visualizations, dashboards, and analytical tools to improve quality monitoring, management review, decision-making, and early detection of product or process risks.
- Identify and implement opportunities to digitalize or automate manual quality processes, reporting, data review, and knowledge management.
- Explore and apply AI-enabled solutions, in collaboration with relevant functions, to improve quality monitoring, data analysis, problem solving, reporting efficiency, and continuous improvement.
- Provide on-site quality support, coaching, and training to strengthen quality awareness, standard execution, and problem-solving capability.
- Lead or participate in continuous improvement and Performance Excellence projects using DMAIC, Lean, or other appropriate methodologies.
- Continuously build technical and quality knowledge, share learning, and adapt quickly to evolving products, processes, and business needs.
- Education & Experience Bachelor’s degree or above in Engineering, Quality, Materials Science, Industrial Engineering, Data Science, or a related technical discipline.
- At least 3 years of experience in Quality Engineering, Process Engineering, Manufacturing Engineering, or a closely related technical function within a manufacturing environment.
- Hands-on experience in PQA, QC, process control, process engineering, or manufacturing quality improvement is strongly preferred.
- Demonstrated experience or strong potential in process understanding, process control, capability analysis, structured experimentation, and manufacturing quality improvement.
Experience in fiber manufacturing or another process-intensive manufacturing environment is preferred; experience in data analytics, digital manufacturing, automation, or AI applications is a plus. Desired Skills Strong knowledge of PQA and QC practices, including quality planning, control plans, inspection and testing, nonconformance management, and change control. Proficiency in SPC, process capability analysis, MSA, FMEA, 8D, root cause analysis, and corrective and preventive action. Strong quantitative and analytical capability, with demonstrated ability to convert manufacturing and quality data into actionable insights and data-driven decisions.
Ability to connect process inputs, equipment conditions, material variation, and product quality outputs through engineering and statistical analysis. Proficiency in Minitab or equivalent statistical software; experience with Power BI, Python, SQL, or equivalent data analysis and visualization tools is preferred. Knowledge of DOE, multivariate analysis, regression, anomaly detection, and other applicable analytical methods is preferred. Ability to develop and improve quality systems, data-driven process controls, monitoring methods, and reaction plans.
Experience with Performance Excellence, Lean, or Six Sigma methodologies is preferred. Strong interest in applying digital, automation, and AI technologies to manufacturing quality; demonstrated learning agility with emerging tools is required. Experience in manufacturing digitalization, workflow automation, AI, machine learning, or quality knowledge management is highly preferred. Effective project management and cross-functional influence skills. Soft Skills Proactive, clear, and timely communication, with the ability to align and collaborate effectively across functions and organizational levels.
Strong learning agility and curiosity, with a demonstrated ability to continuously build technical knowledge and apply new learning to business needs. Self-motivated, accountable, and able to work independently, manage priorities, and perform effectively under pressure. Strong ownership, initiative, and follow-through in identifying risks, escalating concerns, and driving issues to closure. Demonstrated curiosity and change leadership, with the ability to translate new analytical or digital concepts into practical manufacturing applications. Strong written and verbal communication skills in Mandarin and English. 康宁致力于提供平等就业机会，并根据适用的法律考虑合理便利申请。残障人士或有宗教信仰的人员可申请合理便利，以便参与应聘，工作或享受公司福利和权益。如需申请与残障或宗教相关的合理便利，请通过[email protected]联系我们。