AI-Driven Quality & Deviation Lead (Senior/Staff)

1000 Micron Technology, Inc.; Boise (ID); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical, dental and vision plans

Paid time off and holidays

Paid family leave

Job summary

Micron Technology, Inc. invites a Senior/Staff Engineer in CPQE Deviation Management to advance quality excellence across its frontend manufacturing network.

You will lead global quality initiatives, drive deviation management processes, and collaborate with sites and central partners to reduce non-conformances and improve fab performance. The role requires strong root-cause analysis, data-driven decision making, and a track record of cross-functional leadership in semiconductors.

Qualifications

• Bachelor’s or Master’s degree in Engineering or Quality Management.
• 5+ years in quality engineering in semiconductor manufacturing.
• Strong analytical, problem-solving, and cross-functional leadership skills.

Responsibilities

• Lead global quality initiatives to build and sustain deviation management processes.
• Drive the Issue Tracker SWAT team and standardize practices across sites.
• Analyze deviations and provide data-driven recommendations to improve fab performance.
• Lead cross-functional task forces to address quality health across sites.
• Drive AI-powered projects to optimize efficiency and problem resolution.
• Collaborate with global teams to align on quality strategies.
• Define and deploy global quality rules and monitoring.

Skills

Yield improvement

Deviation management

Root cause analysis

Corrective actions

Quality systems

Data analysis

Leadership

Cross-functional collaboration

Communication

AI/LLM integration

Education

Bachelor’s or Master’s degree in Engineering/Quality Management

Tools

Data analysis tools

Job description

Micron Technology, Inc. invites a Senior/Staff Engineer in CPQE Deviation Management to advance quality excellence across its frontend manufacturing network.

You will lead global quality initiatives, drive deviation management processes, and collaborate with sites and central partners to reduce non-conformances and improve fab performance. The role requires strong root-cause analysis, data-driven decision making, and a track record of cross-functional leadership in semiconductors.