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 Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA's product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics. The LS-SWIFT division delivers high-throughput patterned wafer inspection systems that support advanced semiconductor manufacturing. Its mission is to provide industry-leading defect detection with optimal cost of ownership across a wide range of applications. LS systems enable precise, cost-effective inspection for cutting-edge process nodes, while SWIFT systems offer comprehensive macro inspection of all wafer surfaces—capabilities that are especially critical for advanced packaging, as well as logic, memory, and automotive applications.

What You'll Do

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

Responsibilities:

Support novel laser optical design and setting up state-of-the-art test stations in cleanroom
Develop SW for automatic testing and processing
Data collection and analysis
Support engineering and production, and write report

Requirements:

Pursuing a bachelor's degree from a recognized university
Available from Jan-May/June 2027 (preferably semester Intern, commitment of 5 to 6 months)
Track record of outstanding academic performance
Willingness to learn attitude and interest in technology
Strong knowledge or skills in optics and photonics, physics and programming languages (LabVIEW, MatLab, Python, machine learning, etc.), or good at data interpretation and matrix mathematics would be an advantage
Strong hands-on experience, and analytical and problem-solving skills
Strong communication and interpersonal skills
Flexibility and willingness to work on different tasks if required

Minimum Qualifications

Requires less than 1 year of related experience

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.

Technical Intern (R&D)