KLA Careers

System Engineering/Data Analytics Intern

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Company Overview

Calling the adventurers ready to join a company that's pushing the limits of nanotechnology to keep the digital revolution rolling. At KLA, we're making technology advancements that are bigger—and tinier—than the world has ever seen.

Who are we?  We research, develop, and manufacture the world's most advanced inspection and measurement equipment for the semiconductor and nanoelectronics industries. We enable the digital age by pushing the boundaries of technology, creating tools capable of finding defects smaller than a wavelength of visible light. We create smarter processes so that technology leaders can manufacture high-performance chips—the kind in that phone in your pocket, the tablet on your desk and nearly every electronic device you own—faster and better. We're passionate about creating solutions that drive progress and help people do what wouldn't be possible without us.  The future is calling. Will you answer?


The Global Service Support Organization (GSS) team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Product Training, and Technical Support.  The GSS organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts.


This exciting position will enable you to interact with a wide variety of Engineers and KLA System data, with a focus on delivering an improved user and customer experience across KLA’s global installed base of Systems.  The intern will learn how to work with real-world data from industrial equipment, and how it can be used to improve the productivity and maintenance of those machines. The intern will learn how to work with engineers and future users to understand and document requirements for software and data analysis applications, to ensure that the final products will meet the user needs.

This project offers the opportunity to implement tools that will save users time and make more accurate and more proactive service decisions on equipment running in leading-edge semiconductor fabs.  The intern will have the opportunity to work on both the implementation of their own work, as well as influence the framework for others to use in the future, and will have the opportunity to see the results of their work during the project timeframe.  The work for this project could also potentially continue on a remote basis after the intern returns to campus.

This position is responsible for:

  • Working with software, hardware, product support, application and marketing groups to understand and document product requirements
  • Working with statistical structures: JMP, OriginLab, Matlab; to derive a statistical decision making point 
  • Design, development and testing of data analysis and visualization applications in Python
  • Developing user training materials
  • Working in a global environment to interact with multi-site team members (India, Singapore, Europe, Israel and USA)
  • Traveling to customer sites on a needed basis for deployment / troubleshooting


Basic Requirements:

  • At least 3 years of College in a field such as Computer science, Data Science, Engineering, Physics or equivalent field
  • Good understanding of software principles and constructs
  • JMP, OriginLab, Matlab; to derive a statistical decision making point 
  • Design, development and testing of data analysis and visualization applications in Python
  • Good communication, interpersonal and team coordination skills
  • Creative thinker with good problem analysis and solving abilities
  • Good understanding of data structures and algorithms


  • Coursework in Computer science, data mining, machine learning, data science, engineering (mechanical, electrical, systems), or physics
  • Experience in statistical analysis, automated data mining, pattern recognition, and or prediction modeling
  • Experience in debugging software
  • Experience in design and implementation of User Interfaces (desktop or web)
  • Familiarity with encryption and security concepts and best practices
  • Experience building or maintaining / troubleshooting scientific instruments or other mechanical, electrical, and/or optical systems

Minimum Qualifications

At least 3 years of college

Equal Employment Opportunity

KLA is an Equal Opportunity Employer. Applicants will be considered for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristics protected by applicable law.

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