KLA Careers

Software Algorithms Intern (Data Analytics, Python or R, Statistics, Data Structures)

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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, Engineering, 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.

The GSS organization's Engineering group develops data systems for improved diagnostics and predictive maintenance.  The data systems monitor the performance of fleets of KLA test and measurement equipment in semiconductor fabrication plant environments.  They collect, transform, and store data.  They provide visualizations, recommendations based on analytics, and alerts.  This exciting position will enable you to interact with a wide variety of engineers and KLA system data.   



  • Participate in Agile software development for a full stack data analytics system
  • Derive statistics-based decision-making algorithms using Python/R, or Matlab
  • Design, develop, and test data analysis and visualization applications in Python
  • Interact with multi-site team members (Michigan, California, India, and Israel) during software product life cycle for requirement analysis, design, coding, integration and testing
  • Work with software, hardware, service, applications, and marketing groups as needed


Basic Requirements:

  • Good understanding of statistics, data structures, and algorithms
  • Technical expertise in Python and/or R
  • Experience developing data analytic scripts using Python/R, or Matlab
  • Basic understanding of data analytics, and machine learning
  • Good software design/implementation capabilities
  • Effective communication and interpersonal skills
  • Motivated to learn new skills independently
  • Creative thinker with good problem-solving abilities


  • 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

  • Some College
  • Coursework in computer science, data mining, machine learning, data science, engineering (mechanical, electrical, systems), or physics

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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