Fab Operational Excellence Engineer (Lean Six Sigma)

Analog Devices, Inc.; Limerick; On-site; EUR 85,000 - 110,000; Full time

Job summary

Analog Devices, Inc. is seeking a Staff Operational Excellence Engineer to lead fab-wide improvement initiatives, strengthening flow, OEE, cost, and manufacturing performance.

You will work across operations, process engineering, equipment, maintenance, and quality to remove constraints and implement sustainable improvements. The role combines data-driven analysis with cross-functional leadership to improve operational stability, capacity, and execution in a high-volume semiconductor

Qualifications

• Bachelor’s or Master’s degree in Industrial Engineering, Chemical Engineering, Materials Science, or related field.
• Significant experience in semiconductor or other high-volume manufacturing environments.
• Familiarity with JMP, Minitab, SQL, or factory systems; Lean or Six Sigma certification preferred.

Responsibilities

• Lead improvement initiatives to strengthen flow, OEE, cost, and overall manufacturing performance.
• Identify operational losses and constraints through data analysis and root-cause problem solving.
• Partner cross-functionally to implement and sustain improvement actions.
• Apply Lean and Six Sigma methods to strengthen execution discipline and standardize best practices.
• Support fab readiness, capacity improvement, and long-term operational performance.

Skills

Lean Six Sigma

Data-driven problem solving

Semiconductor fab operations

Cross-functional leadership

OEE improvement

Education

Bachelor’s or Master’s in Industrial/ Chemical/ Materials Engineering

Tools

JMP

Minitab

SQL

Factory systems

Job description

Analog Devices, Inc. is seeking a Staff Operational Excellence Engineer to lead fab-wide improvement initiatives, strengthening flow, OEE, cost, and manufacturing performance.

You will work across operations, process engineering, equipment, maintenance, and quality to remove constraints and implement sustainable improvements. The role combines data-driven analysis with cross-functional leadership to improve operational stability, capacity, and execution in a high-volume semiconductor