Process Engineer: Boost Quality & Productivity

Corning Incorporated; Apodaca; Presencial; MXN 320.000 - 520.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation and benefits

Professional development and career增长

Collaborative, continuous improvement–

Inclusive workplace where employees◦v

Descripción de la vacante

Corning Incorporated is seeking a Process Engineer to support manufacturing operations by monitoring process performance, driving improvements, and collaborating with cross-functional teams to sustain and optimize production processes.

The role focuses on improving quality, yield, productivity, and cost performance through data-driven problem solving and continuous improvement initiatives in a dynamic manufacturing environment.

Formación

• Bachelor’s degree in Engineering, Manufacturing, Mechanical, Industrial, Chemical, Materials Science, or related field.
• Minimum 3 years of manufacturing experience.
• Experience supporting manufacturing processes in a production environment.
• English proficiency for technical communication and documentation.

Responsabilidades

• Monitor and analyze manufacturing metrics such as FPY, RTY, OEE, Scrap, Yield, and Process Capability.
• Identify performance gaps and drive corrective and preventive actions.
• Lead process optimization initiatives to improve quality, productivity, capacity, and efficiency.
• Create and maintain manufacturing documentation, including SOPs, work instructions, control plans, and process standards.
• Apply SPC, capability analysis, and validation studies to improve process stability and performance.

Conocimientos

English proficiency

Process optimization

Educación

Bachelor’s degree in Engineering/Manufacturing

Herramientas

SPC

Cpk/Ppk

FPY/RTY

Six Sigma (DMAIC)

Yield Improvement

Root Cause Analysis

Descripción del empleo

Corning Incorporated is seeking a Process Engineer to support manufacturing operations by monitoring process performance, driving improvements, and collaborating with cross-functional teams to sustain and optimize production processes.

The role focuses on improving quality, yield, productivity, and cost performance through data-driven problem solving and continuous improvement initiatives in a dynamic manufacturing environment.