Artificial Intelligence Engineer

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 been possible 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, chip makers 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 scientists, 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.

Are you a computer vision engineer or researcher who loves working on challenging unsolved problems in a dynamic and collaborative environment? Have you led a team taking a computer vision problem from invention to product? KLA could be for you. Come join our high‑performing team consisting of PhDs, machine vision and algorithm engineers building the next generation of AI‑enabled semiconductor inspection equipment.

The successful candidate will grow their career in the LS‑SWIFT algorithms group in California.

• Designing, developing, modifying and diagnosing complex ML and DL algorithms
• Inventing, prototyping and deploying new image processing algorithms and ideas
• Hands‑on experience in object‑oriented and functional programming
• Excellent written and verbal communication skills
• Ability to work both independently and in a team environment

• Strong background in one or more of the following areas: machine learning, deep learning, computer vision, image processing
• Familiar with one of common deep learning frameworks such as Tensor Flow, Py Torch
• Hands‑on experience with training ML/AI models that have been deployed in a product
• Ability to write model architectures from scratch and modify loss functions

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…