Quality Assurance Engineer — Continuous Improvement

Corning Incorporated; Reynosa; Presencial; MXN 350.000 - 550.000; Jornada completa

Descripción de la vacante

Corning Incorporated in Reynosa, Mexico, seeks a Quality Assurance professional to advance the Quality Management System and Product Quality Architecture. You will ensure compliance with internal and external specifications across engineering and manufacturing, driving quality improvements.

The role involves designing and auditing quality controls, applying statistical methods, and coaching teams in Six-Sigma to reduce defects. A technical degree and manufacturing quality experience are required.

Formación

• Experience applying quality control systems and protocols in manufacturing.
• Knowledge of design, inspection and process analysis.
• Track record delivering results in quality environments.

Responsabilidades

• Develops, modifies, applies and maintains quality evaluation and control systems and protocols for processing materials into finished goods.
• Collaborates with engineering and manufacturing to ensure quality standards are in place.
• Implements methods for inspecting, testing and evaluating product quality and equipment.
• Designs inspection and testing processes and conducts statistical analysis to assess non-conforming products.
• Audits quality systems for deficiency identification and correction.
• Supports Lean/Six-Sigma initiatives and project portfolios.
• Coaches belts and managers in quality tools and processes.

Conocimientos

Quality management

Statistical analysis

Lean Six Sigma

Quality systems

Educación

B.S. or equivalent technical degree

Descripción del empleo

Corning Incorporated in Reynosa, Mexico, seeks a Quality Assurance professional to advance the Quality Management System and Product Quality Architecture. You will ensure compliance with internal and external specifications across engineering and manufacturing, driving quality improvements.

The role involves designing and auditing quality controls, applying statistical methods, and coaching teams in Six-Sigma to reduce defects. A technical degree and manufacturing quality experience are required.