Shift Manufacturing Engineer - F4 ID1 CMP Process

Micron Technology • Boise, ID

2d

About The Position

Fab 4 CMP Operations supports the safe, efficient, and high-quality movement of wafers through the CMP process area. The Shift Manufacturing Engineer drives daily fab performance within the assigned area, partnering with Manufacturing Technicians, Shift Lead Engineers, Process Engineers, and Operations teams to achieve wafer movement targets, optimize cycle time, respond to quality concerns, and maintain efficient manufacturing workflows.

Working a 12-hour compressed workweek schedule, the engineer provides real-time operational leadership by identifying manufacturing constraints, supervising material flow, supporting production decisions, and driving actions to meet weekly wafer movement and wafer-on-hand objectives. The role is the primary manufacturing operations owner for CMP during the assigned shift, balancing factory priorities, production risk, cycle time, quality, and move performance. It coordinates execution across multiple organizations without direct authority and identifies risks and constraints before they affect production.

Requirements

• Bachelor's degree or equivalent experience in Industrial Engineering, Manufacturing Engineering, Operations Management, Supply Chain, Engineering, 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.

Nice To Haves

• Semiconductor manufacturing experience.
• Experience with production planning, factory flow management, or industrial engineering concepts.
• Knowledge of cycle time management, bottleneck analysis, and manufacturing optimization.
• Experience using manufacturing systems, reporting tools, and data analysis platforms.
• Familiarity with statistical analysis and continuous improvement methodologies.
• Experience leading projects and influencing cross-functional teams without direct authority.
• Experience with programming, database management, and data visualization tools such as Python, SQL, Tableau, Power BI, or similar platforms.

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.
• Use AI-powered tools and technologies to improve operational decision-making, productivity, and visibility into manufacturing performance.
• Respond to quality concerns and support quality investigations.
• Coordinate and drive execution across multiple organizations to resolve manufacturing constraints and achieve operational objectives.

Benefits

• Choice of medical, dental, and vision plans.
• Programs to help protect income if unable to work due to illness or injury.
• Paid family leave.
• Paid time off.
• Paid holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level