2026 Summer Application Developer Intern

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Location:
Santa Clara,CA

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. 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.

About the Role

Join our Applied Global Services organization as a Summer Application Developer Intern, where you will build a Python‑based analytic application that helps benchmark and improve part lifetimes across Applied global equipment fleets. This tool will support parts quality and reliability improvement, service optimization, and data-driven decision-making across multiple teams.

• Design and implement logic to identify base parts and interchangeable parts using lineage, correlation and historical mapping data.
• Develop filtering and selection rules to determine valid analysis candidates (contract type, tool type, application, etc.).
• Extract part transaction records of valid candidates from Applied internal data source

• Process part transactions and compute average part lifetime by usage metrics (orders, modules, period, etc.)
• Perform benchmarking across contracts, tools, and applications to generate statistical insights.

• Build a clear and user-friendly input configuration and output reporting interface.
• Create useful visualizations, summary tables, and automated reports.

• Validate application outputs against known data and engineering expectations.
• Propose enhancements to logic, workflow, and application functions.
• Provide ideas for how the tool can be integrated into future production systems.

• Hands‑on experience with real production data and real business problems.
• Exposure to the semiconductor manufacturing ecosystem and service engineering workflows.
• Mentorship from senior engineers and cross-functional collaboration.

• Strong Python programming skill. Basic knowledge of Excel and Tableau. Experience of applying Python to real-world applications is a plus.
• Solid analytical and problem‑solving abilities.
• Familiarity with databases and data modeling concepts.

• Understanding of statistical concepts. Knowledge of semiconductor equipment or manufacturing is a plus

• Education: Pursuing a B.S. or M.S. in Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Physics, Mathematics, or related STEM fields.