KLA

Product Development Engineer (eBeam)

Singapore · Work style not stated · Full time

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About the role

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  • EmployerKLA
  • LocationSingapore
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.

Group/Division

The KLA Services team consists of Service Sales, Marketing, Spares Supply Chain Management, Field Operations, Engineering, Product Training, Digital Solutions and Analytics, and Technical Product Support. Our services organization maximizes the value of our customers' KLA assets – with highly trained service and product support engineers providing installation services and 24/7 technical support and parts delivery through our extensive supply chain network.

What You'll Do

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In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.

  • Maintains and coordinates daily schedules, prioritizes system usage, and supports all functions of the tool which include weekly health checks, maintenance, troubleshooting and repair, system calibrations, SW/HW upgrades, revision control, testing, debugging and data analysis of measurement performance.
  • Completes the initial diagnosis of any system issue.
  • Possess the knowledge and experience, to effectively work with experts in optics, laser, stage, loader, image computer, and algorithms to actively assist in resolving the issues.
  • Key contributor in design reviews and during the engineering / alpha builds and test phases of programs, which includes testing against the design tolerances and the marketing specifications of a product release.
  • Prepares the first draft of system alignment, calibration and troubleshooting diagnostics.
  • Trains service and manufacturing employees.
  • May be required to travel to customer sites to efficiently and effectively resolve technical issues (Fly and Fix) during and after product release.

Minimum Qualifications

  • Bachelor's or Master's Degree in a related field
  • Demonstrated experience of advancing solutions to technical problems in a cross-functional environment
  • Experience maintaining eBeam systems
  • Strong interpersonal and communication skills

About KLA

We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.

Use of AI Statement

At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer.

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At a glance

  • Employment typeFull time
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

Machine learning

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