Semiconductor Manufacturing Engineer

Overview

In this role you will apply manufacturing and industrial engineering methods to optimise WIP flow, cycle time, equipment utilisation and throughput for cutting-edge compound semiconductors. You will maintain and improve capacity models, analyse production data, and support business decisions with capacity, cost and scenario analyses. You will work cross-functionally with Engineering, Operations, Automation and Tool Owners to assess impacts of process and equipment changes. This is a hands-on role focused on continuous improvement and delivering reliable delivery performance in a cleanroom environment.

Responsibilities

• Maintain and improve the fab capacity model ensuring data accuracy for equipment and staffing decisions
• Analyse WIP, equipment availability, throughput and operational data to identify improvement opportunities
• Perform capacity, cost and what-if analyses to support business and operational decisions
• Identify and resolve issues affecting cycle time, production flow and delivery performance
• Assess capacity requirements from changes in product mix, process flows and demand
• Collaborate with Engineering, Operations, Automation and Tool Owners on impact of process/equipment changes
• Conduct time studies and data analysis to evaluate process and throughput improvements
• Support introduction of new processes, methods and production flows
• Estimate manufacturing costs, establish time standards and recommend tooling/process requirements
• Drive continuous improvement using Lean/Six Sigma and structured problem-solving methods

Key requirements

• 2+ years’ experience in Semiconductor, Electronics or Automotive manufacturing with focus on capacity modelling, operations optimisation, data analysis and continuous improvement
• Lean/Six Sigma Green Belt certification preferred/required
• Comfortable working in a cleanroom environment
• Bachelor’s degree in Engineering plus 3 years’ industry experience or equivalent proven industry experience

• Strong communication and presentation skills
• Excellent planning and organisational ability
• Strong analytical and problem-solving skills
• Capacity modelling and manufacturing analysis
• Lean/Six Sigma
• Statistical analysis and data modelling

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