INSP Process Engineer

INSP Process Engineer

日期: 2026年10月23

地点: Hefei, AH, CN, 230011

公司名: Corning

申请编号: 79320

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。

康宁公司的显示科技事业部生产主要应用于LCD电视、笔记本电脑和平板显示器的有源矩阵液晶显示器（LCD）玻璃基板。

Key Responsibilities

• Inspection equipment and process support

• Supports daily performance, reliability, and continuous improvement of inspection equipment and operations.

• Supports inspection equipment, controls, and process improvements to enhance operational performance.

• Supports the design, modification, and improvement of automated equipment and motion-control systems to meet or exceed operational requirements.

• Lead structured root-cause investigations and drive containment, corrective actions, and continuous improvement; drive containment, fundamental understanding, and permanent corrective actions.

• Define and maintain performance-monitoring and statistical quality-control approaches.

• Talent development

• Collaborate with cross-functional engineering teams on shared equipment and operational objectives; contribute to goal setting and knowledge sharing within the team.

• Build personal technical depth in Inspection equipment and process; mentor technicians and support knowledge transfer within the engineering team.

• Collaborate with relevant engineering, quality, maintenance, digital/IT, and qualified supplier teams.

• Foster a culture of structured problem solving, data-driven decisions, and continuous learning.

• Digital & AI Transformation

• Support the use of digital tools and data analytics to improve manufacturing equipment and operational performance.

• Apply approved data analytics and digital technologies to support equipment reliability, maintenance effectiveness, and operational improvement.

• Partner with digital, IT, and engineering teams to Implement data solutions, reporting tools, and approved digital applications that support manufacturing operations.

• Support approved software, analytics, and automation solutions for equipment and process improvement.

• Experiences/Education – Required

• Bachelor's degree or above in Mechanical Engineering or a related engineering discipline (equipment design background is a strong plus). Candidates with shorter experience may be considered if they have a strong academic background from a top-tier university.

• 2+ years of process or equipment engineering experience in display, semiconductor, precision manufacturing, or automation equipment industry, with focus on the Inspection process segment.

• Mechanical or equipment-engineering background with experience using CAD and engineering-analysis tools for design, analysis, and verification.

• Experience supporting automated equipment, manufacturing operations, or quality inspection systems is preferred (equipment design background is also acceptable);Knowledge of statistical process control, process capability, and data-driven problem solving.

• Able to communicate in spoken English for cross-region collaboration; clear, logical, and well structured communication skills.

• Strong result orientation and ownership; proactively drives execution and delivers outcomes.

• Experiences/Education - Desired

• Programming experience in Python, C/C++, or similar languages for engineering, automation, or data-analysis applications. Familiarity with machine-learning concepts or applied analytics is a plus.

• Experience with industrial automation, motion-control systems, equipment commissioning, or equipment integration is preferred; equipment commissioning, motion tuning, or automation integration experience is highly valued.

• Familiarity with data analytics tools (JMP, Minitab, SQL) and basic ML/AI concepts (supervised/unsupervised models, computer vision) is a plus. Ability to partner with equipment vendors, IT, and corporate digital teams to deliver end-to-end solutions.

• Master's degree in Mechanical Engineering, Mechatronics, Automation, Computer Science, or a related discipline.

• Lean Six Sigma Green Belt or Black Belt certification.

• Experience in automated inspection, precision manufacturing, or related industrial automation environments.

• Prior experience participating in digital transformation or automation upgrade programs at the plant level.

• Familiarity with manufacturing digital systems, industrial automation technologies, or data integration tools.

• Demonstrated technical contributions, innovation experience, or continuous-improvement achievements, consistent with applicable confidentiality obligations.

• 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。

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