Shift Manufacturing Engineer – Real-Time Fab Leader

Micron Technology, Inc.; Boise (ID); On-site; USD 85,000 - 120,000; Full time

Job summary

Micron Technology, Inc. in Boise, Idaho seeks a Shift Manufacturing Engineer to drive daily CMP fab performance on a 12-hour compressed schedule. You will supervise wafer movement, coordinate with technicians, engineers and operations to hit move targets and optimize cycle time.

You will analyze gaps, implement plans, and support tool needs, data reporting, and continuous improvement using Python/SQL/BI tools. Strong teamwork and problem-solving are required in a fast-paced setting.

Qualifications

• Bachelor's degree in Industrial/Manufacturing Engineering, Operations Management, or a related technical field.
• Proven analytical and problem-solving skills.
• Ability to work in a fast-paced manufacturing environment.
• Strong communication and teamwork skills.

Responsibilities

• Supervise wafer movement performance by DID, process step, and operational targets.
• Identify manufacturing gaps, WIP imbalances, bottlenecks, and workflow disruptions.
• Develop and implement plans to close gaps and achieve weekly move and wafer-on-hand commitments.
• Support operational decision-making to optimize capacity utilization and factory performance.
• Partner with Engineering teams to prioritize and communicate tool-related needs.
• Support automation, reporting, and process improvements that improve visibility and decision-making.
• Leverage AI powered tools to improve decision-making, productivity and visibility.

Skills

Analytical thinking

Problem solving

Communication skills

Teamwork

Education

Bachelor's degree in Industrial/Manufacturing Engineering or related field

Tools

Python

SQL

Tableau

Power BI

Job description

Micron Technology, Inc. in Boise, Idaho seeks a Shift Manufacturing Engineer to drive daily CMP fab performance on a 12-hour compressed schedule. You will supervise wafer movement, coordinate with technicians, engineers and operations to hit move targets and optimize cycle time.

You will analyze gaps, implement plans, and support tool needs, data reporting, and continuous improvement using Python/SQL/BI tools. Strong teamwork and problem-solving are required in a fast-paced setting.