The posting
Job Description
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.
Responsibilities
- 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.
Qualifications
- 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.
About Us
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
We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.
onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact [email protected] for assistance.



