KLA-Tencor Careers

Research Scientist (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-Tencor, 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-Tencor to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA-Tencor's Global Products Group (GPG), which is responsible for creating all of KLA-Tencor’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 Surfscan group includes a team of engineers, technology development, apps engineers and product marketing focused on technology that enables wafer, IC and equipment manufacturers to develop, qualify and monitor their process tools. Defects and process non-uniformities detected on Surfscan equipment allow for early identification of yield excursions.


The flagship Surfscan products include the SPx platforms for wafer surface quality and wafer defect inspection tools and systems for inspection of polished wafers, epi wafers and engineered substrates during the wafer fabrication process.

 

Responsibilities

The job focuses on the development of image and signal processing algorithms for the next generations of optical inspection and metrology systems. The position requires a proven innovative track record and solid fundamental knowledge in the related fields of algorithm development, including image segmentation, texture analysis, classification, feature extraction, statistical data analysis, signal processing, filter theory, machine learning.

The responsibilities of this position covers the entire life cycle of algorithms, including modeling, proof-of-concept design, production software design and implementation, performance characterization, documentation and user support.  Since algorithms can affect many aspects of the system, significant amount of time be spent on cross-function team collaboration for prototyping and testing.

The candidate needs to be a self-motivated individual with ability to work independently and/or in a team. Strong written and verbal communications skills are needed for extensive interactions with members of a multi-disciplinary global team.

Preferred Qualifications

Ph.D. in EE, CS, and Physics with strong experience in algorithm development is preferred.

Software skills required include C++, OOD/OOP, MATLAB and/or Python.

Experience in any one of the following areas is a big plus: algorithm performance optimization, distributed computing, parallel computing, machine/deep learning.


Good communication skills are absolutely essential.

Minimum Qualifications

Doctorate (Academic) OR

Master's Level Degree with at least 2 years of experience. OR

Bachelor's Level Degree with at least 3 years of experience.

Equal Employment Opportunity

KLA-Tencor 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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