Wafer Manufacturing Intern: Data-Driven Process Optimizer

Seagate Technology; Normandale (AL); On-site; USD 33,000 - 43,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Employee stock purchase plan

12 paid holidays

Paid sick leave (min 48 hrs)

Job summary

Seagate Technology is seeking a Wafer Manufacturing Intern for Summer 2027 to contribute to data-driven improvements in a high-technology factory environment. You will collect and clean data, observe factory operations, map processes, and apply Lean tools to identify opportunities for efficiency gains.

The role emphasizes prototyping solutions, testing with stakeholders, and presenting recommendations to site leadership, with a focus on hands-on learning and real impact on production performance.

Qualifications

• Experience with Excel for data preparation, analysis, and visualization.
• Familiarity with Power BI, SQL, Python, Minitab or similar tools is helpful.
• Pursuing a bachelor's in engineering or science with enrollment continuing after Summer 2027.

Responsibilities

• Collect, clean, and analyze manufacturing data from factory reports and systems.
• Observe wafer factory operations and interview operators, technicians, engineers, and managers to identify barriers.
• Map current processes, decision points, ownership, and information flow.
• Apply Lean methods, time studies, Pareto analysis, trend analysis, and other engineering tools.
• Develop new metrics, dashboards, analytical methods, or process concepts to make losses visible and actionable.
• Prototype and test solutions with stakeholders, incorporating feedback and documenting limitations.
• Estimate potential benefits of recommendations in output, cycle time, labor efficiency, or avoided loss.
• Provide clear documentation and present findings to manufacturing leadership.

Education

Bachelor's degree in engineering or science (ongoing)

Tools

Microsoft Excel

Power BI

SQL

Python

Minitab

Job description

Seagate Technology is seeking a Wafer Manufacturing Intern for Summer 2027 to contribute to data-driven improvements in a high-technology factory environment. You will collect and clean data, observe factory operations, map processes, and apply Lean tools to identify opportunities for efficiency gains.

The role emphasizes prototyping solutions, testing with stakeholders, and presenting recommendations to site leadership, with a focus on hands-on learning and real impact on production performance.