About The Position

Applied Materials is a global leader in materials science and engineering solutions, essential for new semiconductor chips and advanced displays. The equipment we create and service is crucial for advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us to push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The FabVantage 360 and Industrial Engineering team supports strategic initiatives focused on customer operational excellence, tool process improvement, data analysis, and reporting across engineering and service organizations. The team collaborates with engineers, project managers, and business stakeholders to identify opportunities for improved efficiency, enhanced visibility into key metrics, and streamlined business processes. This internship offers hands-on experience supporting real-world engineering and operations projects while developing valuable technical and analytical skills.

Requirements

  • 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

Nice To Haves

  • 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

Responsibilities

  • 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

Benefits

  • Supportive work culture that encourages learning, development, and career growth
  • Empowerment to push boundaries and learn every day in a supportive global company
  • Programs and support for personal and professional growth
  • Comprehensive benefits package
  • Potential eligibility for other forms of compensation such as participation in a bonus and a stock award program
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