I4.0 Quality & AI Analyst - Smart Manufacturing

Micron Technology; Boise (ID); On-site; USD 105,000 - 145,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

Paid time off

Paid holidays

Job summary

Micron Technology is seeking a Staff I4.0 Analyst in the Smart Manufacturing and AI team to advance quality initiatives across FE sites. You will lead cross-functional efforts applying IIoT, AI and data analytics to improve manufacturing quality and processes.

The role requires strong engineering background, experience in quality systems, and excellent collaboration to drive global projects from concept to implementation, with a focus on MES/ERP integrations and performance metrics.

Qualifications

• Master’s or Bachelor’s in Engineering with 3 years’ experience in Quality management or Process Equipment Engineering.
• Strong domain knowledge of fab processes and quality systems.
• Excellent analytical and problem solving skills.
• Experience in leading and managing projects.
• Excellent communication, teamwork and cross-functional collaboration.

Responsibilities

• Initial focus to support FE-SMAI Quality pillar initiatives; deploy and test FE smart-manufacturing solutions; document benefits and impact.
• Collaborate with business users to capture and analyze information related to I4.0 adoption.
• Identify gaps and opportunities; define solutions and propose projects for implementation.
• Lead global projects with coordination of resources and stakeholder management.
• Provide expert functional guidance on system capabilities and use metrics to drive improvements.

Skills

Quality management

Process engineering

Data analysis

Project management

Communication

Education

Bachelor’s or Master’s in Engineering

Job description

Micron Technology is seeking a Staff I4.0 Analyst in the Smart Manufacturing and AI team to advance quality initiatives across FE sites. You will lead cross-functional efforts applying IIoT, AI and data analytics to improve manufacturing quality and processes.

The role requires strong engineering background, experience in quality systems, and excellent collaboration to drive global projects from concept to implementation, with a focus on MES/ERP integrations and performance metrics.