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.
Key Responsibilities
- Design, develop, and optimize image processing and computer vision algorithms for semiconductor inspection applications.
- Evaluate and productize machine learning and deep learning approaches where they provide measurable value.
- Prototype new concepts using Python and other analytical tools, and implement production-quality solutions in C++.
- Drive feature development from requirements definition through implementation, validation, release, and customer deployment.
- Perform root-cause analysis for field issues and develop robust corrective actions.
- Document algorithm design, experimental results, and technical recommendations.
Preferred Qualifications
Required:
- Strong knowledge of:
- Image Processing
- Computer Vision
- Machine and Deep Learning fundamentals
- Statistics and Data Analysis
- Pattern Recognition
- Optimization techniques
- Proficiency in:
- C++
- Python
- Linux development environments
- Strong debugging, problem-solving, and analytical skills.
- Ability to work independently on technically challenging assignments.
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years
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 Required
- Doctorate degree with 0 years of related work experience, or a master's degree with 3 years of related work experience, or a bachelor's degree with 5 years of related work experience
- Strong knowledge of image processing and computer vision
- Knowledge of machine learning and deep learning fundamentals
- Knowledge of statistics, data analysis, pattern recognition, and optimization techniques
- Proficiency in C++ and Python
- Experience with Linux development environments
- Strong debugging, problem-solving, and analytical skills
- Ability to work independently on technically challenging assignments
KLA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KLA and has not been reviewed or approved by KLA.
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Retirement Support — U.S. programs include a formulaic 401(k) employer match with clearly described plan designs in company materials. Consistent plan structure and employer matching signal strong support for long‑term savings.
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Equity Value & Accessibility — A broad base of employees is eligible for RSUs and can participate in an ESPP, extending ownership beyond executives. Company materials position equity as a core component of total compensation.
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Strong & Reliable Incentives — A quarterly profit‑sharing program and performance bonuses are outlined in filings, providing regular variable pay opportunities. These incentives complement base pay and equity to lift overall earnings in strong periods.
KLA Insights
What We Do
KLA develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward.
