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PIC Process Integration Intern

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Onsite

PIC Process Integration Intern

Nokia

PIC Process Integration Intern

Skills

SQL QueriesPythonProcess Improvement

8 days ago

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Important information


Contract type:

Temporary

Location:

United States

Work mode:

Onsite

Published on:

14 October 2026

What they need


Number of Position(s): 1

Duration: 10 weeks

Dates: June - August 2027

Location: Onsite in Sunnyvale, CA

EDUCATIONAL RECOMMENDATIONS:

Currently a candidate pursing a bachelor's degree or higher in Chemical Engineering, Material Science, Physics, Electrical Engineering or a related field with an accredited school in the United States. 

  • Troubleshoot process, performance, and yield issues within the wafer fabrication environment.

  • Investigate production lots placed on hold, perform root cause analysis, and support corrective actions.

  • Assist with engineering tool qualification and process validation activities.

  • Support failure analysis efforts through visual inspections, CD-SEM measurements, electrical IV testing, profilometry, and other characterization techniques.

  • Utilize Manufacturing Execution System (MES) tools to collect and analyze data, track process performance, and prepare technical reports and presentations.

  • Monitor Statistical Process Control (SPC) charts and support investigations of process deviations and out-of-control conditions.

  • Coordinate and track qualification and development lots through fabrication, assembly, and test operations to ensure timely execution.

  • Collaborate with cross-functional engineering teams to support continuous process improvement and manufacturing excellence.

  • Strong attention to detail and focus on delivering high-quality work.

  • Eagerness to learn, take initiative, and develop new technical skills.

  • Excellent problem-solving and analytical thinking abilities.

  • Ability to take ownership of assignments and manage priorities effectively.

  • Strong interpersonal, verbal, and written communication skills.

  • Experience using software tools to analyze data and draw meaningful insights.

Nice to have:

  • Experience with SQL and Python.

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