Manufacturing Engineer Intern
onsemi
Posted 14 Nov 2026, 11:32 ET
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree or Master's degree
- Must know
- Business analysisData visualizationData analysisExcelMicrosoft OfficeProject management
- Nice to have
- Lean / Six SigmaOperationsPower BIStatistics
- Work
- On-site in Nampa · internship
- Pay
- Not stated by the employer.
- Skill demand
- Excel16%Data analysis7%Business analysis3%of 150 similar entry-level jobs posted in the US this week
- Listed
- Nov 14, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
onsemi is seeking a highly motivated Manufacturing Engineering Intern to join our Manufacturing Engineering team in Nampa, Idaho. This position offers hands-on experience in a fast-paced semiconductor manufacturing environment, supporting initiatives focused on process optimization, yield improvement, operational efficiency, and continuous improvement.
Key Responsibilities
- Support Manufacturing Engineers in process improvement, yield enhancement, and productivity projects.
- Analyze manufacturing and equipment data to identify trends and improvement opportunities.
- Assist with root cause investigations and corrective action implementation.
- Develop reports, dashboards, and presentations to communicate project progress and results.
- Participate in continuous improvement activities utilizing Lean Manufacturing principles.
- Assist in developing and maintaining process documentation, work instructions, and engineering procedures.
- Support process qualifications, equipment evaluations, and validation activities.
- Collaborate with Operations, Quality, Maintenance, and Engineering teams to implement improvements.
- Collect and analyze data related to process capability, throughput, cycle time, quality, and equipment performance.
- Present project findings and recommendations to engineering and site leadership.
Potential Project Assignments
Interns may have the opportunity to contribute to projects such as:
- Yield improvement and defect reduction initiatives.
- Overall Equipment Effectiveness (OEE) improvement projects.
- Manufacturing cycle time and bottleneck reduction efforts.
- Capacity modeling and production flow analysis.
- Development of Power BI dashboards and manufacturing performance metrics.
- Statistical Process Control (SPC) monitoring and process capability analysis.
- Scrap and rework reduction projects.
- Manufacturing automation and data analytics initiatives.
- Cost reduction and operational efficiency projects.
- Industry 4.0 and digital manufacturing improvements.
Requirements & Tech Stack
- Currently pursuing a Bachelor's or Master's degree in Industrial Engineering, Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Chemical Engineering, Materials Science Engineering, Computer Engineering, or a related engineering discipline.
- Sophomore standing or above.
- Strong analytical and problem-solving skills.
- Proficient in Microsoft Excel, PowerPoint, and Word.
- Effective communication and teamwork skills.
- Ability to work independently and manage multiple priorities.
Preferred Qualifications
- Interest in semiconductor or advanced manufacturing environments.
- Experience with Power BI, SQL, Python, JMP, Minitab, or similar analytical tools.
- Knowledge of Lean Manufacturing, Six Sigma, or Continuous Improvement methodologies.
- Experience with engineering projects, laboratory environments, or manufacturing operations.
- Understanding of statistical analysis and process control concepts.
Required Skills And Competencies
- Data analysis and critical thinking
- Strong attention to detail
- Technical curiosity and willingness to learn
- Teamwork and collaboration
- Project management and organization
- Effective written and verbal communication
- Results-oriented mindset
What You'll Gain
- Exposure to semiconductor manufacturing and advanced technologies.
- Hands-on experience solving real-world manufacturing challenges.
- Opportunities to work with experienced engineering professionals.
- Experience utilizing manufacturing data and analytics tools.
- Participation in projects that directly impact business performance.
- Professional development through mentorship and networking opportunities.