Hiring.Camp

Optical Systems Engineer

KLA

·

Today

Location
SGP-Central Singapore-Singapore-KLA
Type
Full-time
Department
Engineering
Education
Master
Source
Workday

Description

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.


Qualifications:

The successful candidate will have optical training or equivalent work experience in the optical field and is required at a bare minimum to have at least some optical alignment and testing laboratory work. The successful candidate will also have proficiency and willingness to script in Python for data collection on a KLA platform. 

Preferred Experience:

  • Prior experience handing high quality optics

  • Start to finish data collection thru analysis with electronic devices (i.e., camera images, computer captured electronic data such as a power meter)

  • Experience processing and presenting data and conclusions

Skills: Must Have:

  • Mechanical integration experience

  • Ability and desire to work as part of a team

  • Ability to work in a clean room

  • Matlab or Python at intermediate or better level

  • Zemax modeling

  • Understanding of thin film coatings at a working level

  • Ability to clearly communicate in English

Skills: Nice to Have

  • Basic understanding of statistics for data analysis

  • Ability to process image files to extract data

  • Experience in optical tolerancing

  • Experience modeling light sources

  • Experience in vendor coordination/ ordering

  • Ability to open and review CAD models

Minimum Qualifications

A Bachelors or masters degrees in optics or a related field (physics or optical devices) and 2 years work experience with optical hardware projects with some projects requiring python scripting or equivalent SW experience is required.

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.



Skills

PythonMachine Learning

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