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Algorithm engineer

Job in Milpitas, Santa Clara County, California, 95035, USA
Listing for: KLA Corporation
Full Time position
Listed on 2026-08-05
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Systems Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
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

Are you a computer vision engineer or researcher who thrives on solving challenging, real-world problems? Do you enjoy taking ideas from concept through to production at scale?

At KLA, you will work on cutting-edge AI-powered inspection systems that enable breakthroughs in semiconductor manufacturing-the backbone of modern technology.

Join a high-performing team of PhDs, machine vision experts, and algorithm engineers, where you will design and deploy next-generation computer vision and deep learning solutions in complex, high-impact environments. The successful candidate will grow their career within the LS-SWIFT algorithms group in California, working on some of the most advanced inspection systems in the industry.

Key Responsibilities

* Design, develop, and optimize advanced machine learning and deep learning algorithms for complex image and signal processing applications

* Take ownership of algorithm development from concept and prototyping to production deployment

* Invent, evaluate, and implement novel computer vision approaches for challenging, real-world datasets

* Analyze system performance, debug complex issues, and improve robustness and accuracy in production environments

* Collaborate closely with cross-functional teams (software, systems, applications, and field engineers) to deliver high-quality solutions

* Contribute to architectural decisions and continuously improve algorithm performance, scalability, and…
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