Algorithm engineer
Listed on 2026-08-05
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Computer Vision Engineer
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.
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-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.
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 maintainability
- Strong background in one or more of the following:
Machine Learning, Deep Learning, Computer Vision, Image Processing - Hands-on experience with at least one major deep learning framework (e.g., Tensor Flow, PyTorch)
- Proven experience training, validating, and deploying ML/DL models in production environments
- Solid programming skills (C++ and/or Python), with experience in object-oriented and/or functional programming
- Ability to design model architectures, customize loss functions, and…
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