Senior Front-End QA Engineer — AI-Driven Quality

Micron Technology, Inc.; Boise (ID); Presencial; USD 110.000 - 165.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Dental and vision plans

Paid time off

Descripción de la vacante

Micron Technology, Inc. in Boise, Idaho, is seeking a Senior Engineer for Front-End Central QA to safeguard product integrity in a high-volume semiconductor environment.

You will lead containment, risk assessment, and deviation disposition while supporting new product qualifications and using AI-enabled tools for data-driven decisions. Qualifications include a Bachelor’s degree in Engineering or Quality Assurance and strong analytical, problem-solving, and SPC experience.

Formación

• Strong analytical, problem-solving, and risk assessment skills.
• Experience with quality systems, inspection methodologies, SPC, and compliance.
• Ability to collaborate across multiple organizations and communicate technical findings.

Responsabilidades

• Complete product containment, risk assessment, and disposition processes to maintain product quality.
• Develop, evaluate, and revise quality assurance methods and protocols for in-process materials, equipment, and finished products.
• Collaborate with manufacturing, engineering, and quality teams to identify root causes and drive quality improvements.
• Monitor quality performance metrics, inspection data, defect trends, and process indicators to support objectives.
• Ensure compliance with manufacturing inspection, SPC, and QMS requirements, including documentation and audits.

Conocimientos

Analytical skills

Problem-solving

Risk assessment

Educación

Bachelor's degree in Engineering/Quality Assurance

Herramientas

AI tools

Descripción del empleo

Micron Technology, Inc. in Boise, Idaho, is seeking a Senior Engineer for Front-End Central QA to safeguard product integrity in a high-volume semiconductor environment.

You will lead containment, risk assessment, and deviation disposition while supporting new product qualifications and using AI-enabled tools for data-driven decisions. Qualifications include a Bachelor’s degree in Engineering or Quality Assurance and strong analytical, problem-solving, and SPC experience.