Quality Management System Engineer

About the role

Micron Technology, a global leader in memory and storage solutions, is seeking a Quality Management System (QMS) Engineer to join its quality team. The QMS is the set of interrelated processes used to implement quality policy and achieve quality objectives across people, processes and technology. The QMS Engineer keeps the system effective, compliant with key standards such as ISO 9001 and IATF 16949 where applicable, and continuously improving.

Key responsibilities

• Own and improve the QMS processes and drive end-to-end process clarity, interactions and documentation.
• Ensure and improve compliance (e.g., ISO 9001; IATF 16949 for automotive lines), coordinate with sites and auditors and close findings to standard.
• Collaborate with key stakeholders to collect inputs and ensure alignment, and cascade QMS changes to the site team.
• Track and monitor KPIs for the QMS processes and resolve non-compliance issues.
• Assist in planning and supporting audits, and drive quality improvement initiatives and projects.
• Manage the cost budget for the QMS.
• Use AI tools and Robotic Process Automation (RPA) to improve effectiveness and efficiency, and share AI-enabled improvements within your scope.

Required profile

• Bachelor's or Master's degree in Mechanical, Materials, Electrical, Electronics Engineering or a closely related discipline.
• Strong analytical, logical and critical thinking skills, and attention to detail in documentation and reporting.
• Effective communicator who can collaborate across all levels, with a growth mindset and interest in the semiconductor industry.
• Internship or experience in the semiconductor industry is a plus; demonstrated leadership is highly desirable.

Required skills

• Familiarity with AI tools such as Python, Power Automate, Power Apps, Power BI and Tableau.
• Knowledge of quality systems such as FMEA, change management, measurement system analysis, calibration and other quality and statistical methods is advantageous.
• Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI tools responsibly.