KLA Careers

Algorithm Engineer

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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 Broadband Plasma Division (BBP) provides market-leading patterned wafer optical inspection systems for leading-edge IC manufacturing. Logic, foundry, and memory customers depend on BBP products to detect yield-critical defects for process debug and excursion monitoring at advanced process nodes.    

BBP flagship products include the 29xx and 39xx series which leverage Broadband Plasma technology to capture a wide range of defects with ultimate sensitivity at the optical inspection speeds needed for inline defect monitoring.

 

Responsibilities

This position belongs to the algorithm and machine learning team in Broadband Plasma Wafer Inspection (BBP) division. 
The team is responsible for real-time algorithms research and development. 
This individual will utilize his/her strong skills in mathematics, statistics, machine learning, and software to build solutions for the world most advanced wafer inspection platforms. 
 
Responsibilities of this position include
 
  • Analyze the signal, noise characteristics, and other data sources of current and emerging IC yield limiting defects, formulating algorithmic solutions, and validating them via simulation and prototyping.
  • Develop and implement algorithms and/or machine learning solutions
  • Provide algorithm technical support during product demos and beta testing, work with domain experts from other functional teams on special customer engagement projects.
  • Participate in software quality assurance activities required by the software development process.
  • The successfull candidate should expect to be involved in the following activities:
  • data analysis
  • algorithm development
  • prototype and work to establish value of various solutions
  • implement algorithms, which may include integration coding
  • participate in requirements gathering and design activities, which includes writing documentation

 

Qualifications

The successful candidate should have the following qualifications and/or should expect to have to acquire these skills on the job:

 
  • Strong background in mathematics, statistics, machine learning and deep learning
  • Knowledge of image processing, computer vision, and/or pattern recognition is beneficial, but not required
  • Experience of C++ development in both windows and Linux environment
  • Algorithm prototyping using matlab and/or python
  • Knowledge of java is beneficial and may be required on the job
  • Ability to analyze data and conduct research-type activities is very important
  • We are looking for a team player that will work well with the rest of the team and will be able to reach out and collaborate with other groups, often cross-disciplinary.
  • PhD in Computer Science, Electrical Engineering, Mathematics or Physics is desired

Minimum Qualifications

Masters

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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