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

Applied Materials, Inc.; Santa Clara (CA); On-site; USD 30,000 - 48,000; Part time

Benefits offered by this job

Stock award program

Bonus eligibility

Comprehensive benefits

Job summary

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

You will analyze data, identify trends, and translate engineering knowledge into scalable digital solutions with global deployment support. The role offers hands-on exposure to process engineering, defect analysis, and enterprise AI applications, working with Customer Engineers and IT teams in a

Qualifications

• Masters degree in Chemical Engineering, Electrical Engineering, or related field.
• GPA 3.0+ preferred.
• Experience with data analytics in manufacturing is a plus.

Responsibilities

• Analyze manufacturing and equipment data to identify trends and root causes.
• Support FabVantage initiatives for data-driven improvements.
• Assist in AI adoption and data capture automation across global deployment.

Skills

Data analytics

Python

SQL

Excel

Power BI

Tableau

Education

Masters degree in Chemical Engineering

Masters degree in Electrical Engineering

Tools

Excel

Power BI

Tableau

Job description

Who We AreApplied 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.What We OfferLocation:Santa Clara,CAYou’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. Visit our Careers website to learn more.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. Learn more about our benefits .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 analyticsExperience with Python, SQL, and data analysis tools such as Excel, Power BI, or TableauREQUIREMENTS/EDUCATION:Masters Degree in Chemical Engineering, Electrical Engineering, or related fieldGPA of 3.0 or above preferredApplications 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.Additional InformationTime Type:Part timeEmployee Type:Intern / StudentTravel:NoRelocation Eligible:NoThe salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.Applied Materials is an Equal Opportunity Employer. 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.In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at [e-mail], or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.