Manufacturing Engineer Intern

onsemi

Nampa, IDFresher5m agovia LinkedIn

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

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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.

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