TEAM OVERVIEW: Our team focuses on developing and scaling AI, data analytics, and knowledge-driven solutions that improve troubleshooting, decision-making, and productivity within semiconductor manufacturing and customer support environments. We work across engineering, IT, AI/ML, and business teams to translate real-world customer and field challenges into scalable digital solutions. The team collaborates with Customer Engineers, technical experts, AI researchers, IT organizations, and global stakeholders to drive initiatives spanning AI adoption, data automation, knowledge management, analytics, and global enablement. KEY RESPONSIBILITIES: We are seeking a highly motivated Process Engineering Intern interested in applying data analytics, Artificial Intelligence, and advanced troubleshooting techniques to semiconductor manufacturing challenges. The intern will support FabVantage initiatives focused on improving process and equipment performance, defect troubleshooting, data-driven root cause analysis, and knowledge capture. The intern will work with Customer Engineers, Process Engineers, technical experts, AI researchers, and IT teams to analyze manufacturing and equipment data, identify trends and potential root causes, and help translate engineering knowledge into scalable digital solutions. The role will also support AI adoption, data capture automation, and global deployment and training. This opportunity provides hands-on exposure to semiconductor process engineering, equipment and defect analysis, advanced analytics, enterprise AI applications, and technical problem-solving in a global customer environment. TECHNICAL SKILLS: * Experience with semiconductor/manufacturing data, equipment data, or defect analytics * Experience with Python, SQL, and data analysis tools such as Excel, Power BI, or Tableau REQUIREMENTS/EDUCATION: * Masters Degree in Chemical Engineering, Electrical Engineering, or related field * GPA of 3.0 or above preferred Applications will be reviewed on a rolling basis. Please apply by November 30, 2026. Note: This position may close early based on application volume or candidate selection. ## Qualifications ### Education: ### Skills ### Certifications: ### Languages: ### Years of Experience: ### Work Experience: ## Additional Information ### ### Shift: 10-Day 8-Hr (United States of America) ### ### Travel: No ### ### Relocation Eligible: No ### Referral Payment Plan: None Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.