Summer Industrial Engineering Intern- Bachelor's; Santa Clara, CA)

Who We Are

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.

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. 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.

The Fab Vantage 360 and Industrial Engineering team support strategic initiatives focused on customer operational excellence, tool process improvement, data analysis, and reporting across engineering and service organizations. The team works closely with engineers, project managers, and business stakeholders to identify opportunities for improved efficiency, enhanced visibility into key metrics, and streamlined business processes. The intern will gain hands-on experience supporting real-world engineering and operations projects while developing valuable technical and analytical skills.

• Support engineering and operations teams through data collection, analysis, and reporting activities
• Create and maintain reports, presentations, and documentation using Microsoft Excel, PowerPoint, and Word
• Analyze operational and engineering data to identify trends, opportunities, and process improvement recommendations
• Develop or enhance simple Python scripts to automate repetitive data processing and reporting tasks
• Assist with documenting business processes, workflows, and standard operating procedures
• Support project teams by organizing data, preparing status reports, and tracking action items
• Collaborate with cross-functional teams to improve reporting accuracy and efficiency
• Participate in continuous improvement initiatives and contribute recommendations for process optimization
• Assist in creating executive-level presentations and visual summaries of project results
• Support ad-hoc analysis requests from engineering and management teams

• Proficiency with Microsoft Office suite (Excel, Word, Outlook, PowerPoint)
• Basic AI prompt engineering skills
• Experience with GenAI tools (e.g. Copilot, Claude, ChatGPT)
• Basic programming knowledge with Python, SQL
• Strong analytical and problem solving skills
• Ability to organize, analyze, and present data effectively
• Excellent written and verbal communication skills
• Strong attention to detail and ability to work independently
• Familiarity with databricks, Power BI or Tableau preferred
• Knowledge of data visualization best practices
• Understanding process improvement methodologies
• Experience working with engineering, manufacturing, or operations-related data

• Pursuing a bachelor’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Systems Engineering, Computer Engineering, or a related engineering discipline
• Minimum GPA of 3.0 preferred
• Demonstrated experience using Microsoft Excel, Word, and PowerPoint through coursework, projects, internships, or extracurricular activities
• Interest in data analysis, process improvement, and engineering operations
• Ability to work onsite in Santa Clara, California during the internship period

Time Type:
Full time

Employee Type:
Intern / Student

Travel:
No

Relocation Eligible:
No

Note:

This position may close early based on application volume or candidate selection.

The salary offered to a selected candidate will be based on multiple factors including…