AI-Driven Semiconductor Process Intern

Applied Materials, Inc.; Santa Clara (CA); On-site; USD 21,000 - 30,000; Part time

Benefits offered by this job

Part-time internship

Job summary

Applied Materials in Santa Clara, CA is seeking a highly motivated Process Engineering Intern to apply data analytics, AI, and advanced troubleshooting to semiconductor manufacturing challenges.

You will work with Customer Engineers, Process Engineers, and IT teams to analyze data, identify trends, and translate engineering knowledge into scalable digital solutions.

This part-time internship offers hands-on experience and exposure to global deployment and training.

Qualifications

• Masters Degree in Chemical Engineering, Electrical Engineering, or related field.
• GPA of 3.0 or above preferred.

Responsibilities

• Apply data analytics, AI techniques to semiconductor manufacturing challenges.
• Support FabVantage initiatives to improve process and equipment performance.
• Analyze manufacturing data to identify trends and root causes.
• Translate engineering knowledge into scalable digital solutions.
• Assist with AI adoption, data capture automation, and global deployment.

Skills

Python

SQL

Excel

Power BI

Tableau

Education

Masters Degree in Chemical Engineering

Masters Degree in Electrical Engineering

GPA 3.0+ preferred

Tools

Power BI

Tableau

Job description

Applied Materials in Santa Clara, CA is seeking a highly motivated Process Engineering Intern to apply data analytics, AI, and advanced troubleshooting to semiconductor manufacturing challenges.

You will work with Customer Engineers, Process Engineers, and IT teams to analyze data, identify trends, and translate engineering knowledge into scalable digital solutions.

This part-time internship offers hands-on experience and exposure to global deployment and training.