KLA Careers

Algorithm Engineer

Company Overview

Calling the adventurers ready to join a company that's pushing the limits of nanotechnology to keep the digital revolution rolling. At KLA, we're making technology advancements that are bigger—and tinier—than the world has ever seen.

Who are we?  We research, develop, and manufacture the world's most advanced inspection and measurement equipment for the semiconductor and nanoelectronics industries. We enable the digital age by pushing the boundaries of technology, creating tools capable of finding defects smaller than a wavelength of visible light. We create smarter processes so that technology leaders can manufacture high-performance chips—the kind in that phone in your pocket, the tablet on your desk and nearly every electronic device you own—faster and better. We're passionate about creating solutions that drive progress and help people do what wouldn't be possible without us.  The future is calling. Will you answer?

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.

 

Responsibilities

1) The successful candidate will join a world-class team of software and algorithm engineers to conceive, implement, optimize, and document advanced algorithms and software modules used in inspection and metrology systems.

2) The responsibilities of this position covers the entire life cycle of algorithms and software development, including proof-of-concept design/research, production algorithm/software design and implementation, performance characterization, documentation and support.

3) The successful candidate needs to be a self-motivated individual with ability to work independently and be an effective team player. Strong written and verbal communications skills are needed for extensive interactions with members of a multi-disciplinary global team.

Qualifications

Preferred Qualifications:

1) BS/MS in Science or Engineering fields

2) Strong background in applied mathematics and signal/image processing.

3) Minimum 5-year experience in algorithm and software development using C++ in field of signal/image processing. Strong Python or MATLAB skills.

4) Experience in Object-Oriented and multi-threaded software development is essential.

5) Knowledge in Machine Learning. Deep Learning is a plus.

 

Minimum Qualifications

Bachelor's Level Degree

Equal Employment Opportunity

KLA is an Equal Opportunity Employer. Applicants will be considered for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristics protected by applicable law.

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