Lead Analyst, Algorithm Research & Development

Posted Yesterday
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Chennai, Tamil Nadu, IND
In-Office
Entry level
Hardware
The Role
Design, prototype, and productionize computer vision and machine learning algorithms for semiconductor wafer inspection. Develop and optimize image processing for defect detection and classification, ensure real-time scalability and performance, and collaborate with cross-functional teams to integrate solutions across Windows and Linux environments.
Summary Generated by Built In

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA’s Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry’s most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America.

Job Description/Preferred Qualifications

Preferred Qualification:

Bachelor's or Master’s or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related fields.

Job Description:

As an Algorithm Engineer at KLA, you will design and implement advanced computer vision and machine learning algorithms to power next-generation semiconductor inspection and metrology systems. This role offers the opportunity to work on cutting-edge technologies and solve complex vision problems.

Key Responsibilities:

1. Develop and optimize image processing algorithms for defect detection and classification in semiconductor wafers.

2. Research and integrate image computer vision techniques to improve inspection accuracy and throughput.

3. Prototype algorithms in Python and transition to production-ready implementation in C++ under Windows and Linux environments.

4. Collaborate with cross-functional team to integration and build effective solutions

5. Ensure algorithm scalability and performance for real-time inspection systems.

Minimum Qualifications

Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years

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

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees.  KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings.  KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers.  If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Skills Required

  • Master's Degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related field (0 years experience option)
  • Bachelor's Degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related field (requires ~2 years related experience)
  • Prototyping algorithms in Python
  • Production-ready implementation in C++
  • Experience with Windows and Linux development environments
  • Developing and optimizing image processing and computer vision algorithms for defect detection and classification
  • Applying machine learning techniques to improve inspection accuracy and throughput
  • Ensuring algorithm scalability and real-time performance for inspection systems
  • Cross-functional collaboration to integrate algorithms into products

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.

  • Retirement Support Retirement offerings include a 401(k) plan with company matching and financial planning support. Student debt assistance and related financial benefits reinforce long-term savings and security.
  • Equity Value & Accessibility Ownership programs include an Employee Stock Purchase Plan and broad-based RSU participation that extend equity beyond a narrow group. These elements complement competitive pay and bonuses to strengthen total rewards.
  • Leave & Time Off Breadth Time-off programs span paid time off, paid company holidays, and paid volunteer time. Family care and bonding leave and back-up care services add flexibility during life events.

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The Company
HQ: Milipitas, CA
10,001 Employees

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.

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