About this role
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
https://www.onsemi.com/careers/career-benefits
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.