Summer 2027 Global Product Support Intern- Master's (Santa Clara, CA)

Applied Materials•Santa Clara, CA

1d•Onsite

About The Position

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology. You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. 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.

Requirements

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

Responsibilities

Support FabVantage initiatives focused on improving 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 translate engineering knowledge into scalable digital solutions.
Support AI adoption, data capture automation, and global deployment and training.
Gain 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.