工艺工程师

Purpose of the Position

This position is for a CBG Process Engineer who will support Corning’s Bendable Glass business by integrating data analytics with practical engineering execution. The role requires strong capabilities to transform process and manufacturing data into actionable insights, identify performance gaps and improvement opportunities, and translate analytical findings into practical engineering actions to support successful project execution and business objectives.

Day to Day Responsibilities

• Analyze process, manufacturing, and quality data to support engineering decisions, troubleshooting, and problem solving across multiple CMs and manufacturing sites.
• Prepare, clean, validate, organize, and structure data from manufacturing, quality, inspection, equipment, and measurement systems to ensure data integrity and analytical reliability.
• Apply appropriate statistical and analytical methods to identify process trends, performance gaps, and potential improvement opportunities, and support hypothesis-driven investigations.
• Support engineering trials, experiments, and process improvement activities through data collection, analysis, interpretation, and evaluation of results.
• Contribute to day-to-day engineering execution, including process troubleshooting, technical documentation, action follow-up, process monitoring, and implementation of improvement actions.
• Document and communicate analytical results, engineering observations, conclusions, and action items clearly and accurately to support effective decision-making and execution.
• Collaborate with engineering teams, manufacturing teams, and cross-functional partners to address process and quality issues and support division-level priorities and project execution.

Education & Experience

• BS degree or above in Chemical Engineering, Materials Science, Mechanical Engineering, Industrial Engineering, Data Analytics, Statistics, Computer Science, or a related technical field
• 3-above years of relevant experience in manufacturing, process engineering, data analytics, quality, or a related field
• Experience using data to support troubleshooting, process improvement, quality analysis, or operational decisions
• Familiarity with data tools such as Excel, Power BI, Python, SQL, JMP, Minitab, or similar tools
• Global work experience, working across regions and cultures.
• Experience in display/touch panel manufacturing/cover glass/mechanics is preferred.

Required Skills

• Strong knowledge of statistics, data analysis, and analytical problem solving, with the ability to translate data into practical engineering insights.
• Fundamental understanding of manufacturing and material finishing processes, such as cutting, grinding, extrusion, polishing, washing, coating, lamination, and packaging.
• Working knowledge of process control and continuous improvement methodologies, including DOE, DMAIC, MEE, and Total Quality principles.
• Ability to apply statistical and analytical methods to identify trends, variation, correlations, and potential issues in process, manufacturing, and quality data, supporting engineering decision-making and problem solving.
• Strong problem-solving skills, with the ability to support root-cause analysis, process troubleshooting, and development of improvement actions.
• Ability to clearly communicate analytical findings, engineering observations, and recommendations to engineers, manufacturing teams, and other stakeholders.
• Ability to manage multiple assignments and priorities while providing timely engineering support in a fast-paced manufacturing environment.
• Fluent English communication skill including verbal and written.
• Ability to collaborate effectively across engineering, manufacturing, and cross-functional teams in a diverse, cross-cultural, and multi-site environment.