Senior Industrial Engineer

The Global Industrial Engineering organization is seeking a Senior Industrial Engineer to support manufacturing optimization, capacity planning, advanced analytics, and digital transformation initiatives across onsemi's global manufacturing network. This position plays a key role in developing analytical solutions, capacity models, and decision-support tools that improve factory performance, resource utilization, and operational effectiveness.

The successful candidate will work closely with Manufacturing Operations, Supply Chain, Planning, and Engineering teams to drive data-driven decision making and continuous improvement initiatives across multiple manufacturing sites.

• Develop and maintain manufacturing capacity models for strategic and operational planning.

• Perform analysis of factory utilization, cycle time, throughput, bottlenecks, and production performance.

• Design, develop, and maintain dashboards, automated reporting solutions, and analytical tools.

• Support manufacturing planning, capacity forecasting, and scenario analysis.

• Identify and implement opportunities to improve productivity, efficiency, and asset utilization.

• Collaborate with global site teams to support operational excellence and continuous improvement initiatives.

• Analyze large datasets and provide actionable recommendations to leadership.

• Support deployment of Industrial Engineering methodologies and best practices across manufacturing sites.

• Participate in digital transformation initiatives involving analytics, optimization, and automation solutions.

• Work cross-functionally with Operations, Supply Chain, Engineering, and IT teams to support strategic business objectives.

• Bachelor's or Master's degree in Industrial Engineering, Operations Research, Manufacturing Engineering, Data Science, or a related field.

• Experience in manufacturing analytics, capacity planning, and optimization.

• Proficiency in SQL, Python, Power BI, Tableau, or similar analytics tools.

• Strong analytical, problem-solving, and communication skills.

• Semiconductor manufacturing experience preferred.

• Knowledge of queuing theory and manufacturing flow analysis.

• Wafer fabrication (Wafer Fab) experience preferred.

• Experience with capacity modeling, simulation, and operational research techniques is a plus.

• Ability to work effectively with cross-functional teams in a global manufacturing environment.

• Experience developing dashboards, automated reporting solutions, and data-driven decision support tools preferred.