KLA Careers

Information Systems Engineer | Student Position (Manufacturing)

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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?

Group/Division

KLA has manufacturing sites across the globe, including Belgium, China, Germany, Israel, Singapore and Milpitas (CA).  The Global Operations (GOPS) team, comprised of Manufacturing, Supply Chain Management, Manufacturing Engineering, Installation, and Quality, is responsible for manufacturing our leading-edge technology.  We partner with our world-wide supply base and our design engineering teams to bring new products to market.  The GOPS team is continuously working to build our products Better, Faster, Cheaper.

Responsibilities

 

•Develop and sustain data analytics SW & DB
•Collect measurement data from production tools
•Work closely with production team to implement data flow process

 

Qualifications

 

•Undergraduate (5th semester) student in computer science or related fields
•Strong data analysis capabilities
•Good programming skills C++, Python and SQL
•Average grades above 84
•Available for 20 hours weekly

 

  

•Undergraduate (5th semester) student in computer science or related fields
•Strong data analysis capabilities
•Good programming skills C++, Python and SQL
•Average grades above 84
•Available for 20 hours weekly