Summer 2027 Global Product Support Intern- Master's (Santa Clara, CA)
Role Overview
The team develops and scales AI, data analytics, and knowledge-driven solutions for troubleshooting, decision-making, and productivity in semiconductor manufacturing and customer support.
The team works across engineering, IT, AI/ML, and business groups to turn customer and field challenges into scalable digital solutions.
Key Skills for This Role
Full Job Posting
About Applied Materials
Applied Materials develops materials science and engineering solutions used in semiconductor chips and advanced displays.
Its equipment and services support semiconductor manufacturing and technology development.
Team overview
The team develops and scales AI, data analytics, and knowledge-driven solutions for troubleshooting, decision-making, and productivity in semiconductor manufacturing and customer support.
The team works across engineering, IT, AI/ML, and business groups to turn customer and field challenges into scalable digital solutions.
Key responsibilities
- Support FabVantage initiatives focused on process and equipment performance, defect troubleshooting, data-driven root cause analysis, and knowledge capture.
- Analyze manufacturing and equipment data, identify trends and potential root causes, and help create scalable digital solutions from engineering knowledge.
- Support AI adoption, data capture automation, global deployment, and training.
- Collaborate with customer engineers, process engineers, technical experts, AI researchers, and IT teams.
Technical skills
- Experience with semiconductor or manufacturing data, equipment data, or defect analytics.
- Experience with Python, SQL, and data analysis tools such as Excel, Power BI, or Tableau.
Education and qualifications
- Master's degree in chemical engineering, electrical engineering, or a related field.
- A GPA of 3.0 or above is preferred.
Work arrangement
- The listed role location is Santa Clara, California.
- The posting lists no travel and states that relocation is not eligible.
Position details
- Time type is part time; employee type is intern/student.
- Applications are reviewed on a rolling basis, with an apply-by date of November 30, 2026; the position may close earlier.
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