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Artificial Intelligence Engineer

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  • Posted 11 days ago
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Job Description

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 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.

Job Description/Preferred Qualifications

  • This position involves developing advanced image processing algorithms for the wafer inspection and review.
  • Designs and develops cutting edge image processing and machine learning algorithms
  • Collaborate with Application Engineers and Customers to design, develop and productize solutions at customer sites.
  • Implement system level solutions to push the limits of sensitivity on semiconductor inspection & review systems.
  • Designs and implementations are always constrained to operate with the boundaries of robustness and stability.
  • Real time requirements pose additional challenges and works extensively on providing solutions to live customer problems in the field.
  • This position is unique as it interfaces with several system level groups - Optics, mechanics, sensors, and applications among others.
  • The opportunities are boundless in the technical areas as we are constantly pushing the envelope of leading-edge technologies in algorithms and image computers.

System level solutions for these complex automated inspection platforms. We are constantly innovating and releasing products every few months

Minimum Qualifications

  • Graduates in any of the following degree: Ph.D., Dual Degree, Masters, or Bachelors. (Candidates from EE, CS and Mathematics background would be preferred) with 5 - 14 years of experience.
  • The ideal candidate will have a working knowledge of Machine Vision.
  • Knowledge of Deep Learning with working experience in Tensor Flow, Theano, PyTorch etc.
  • Working experience in one or more of the following DL techniques: GANs, Auto Encoders, Semantic Segmentation,
  • Ability to formulate problems into mathematical equations.
  • Proficiency in computational methods, C++, and object-oriented design.
  • Team player with good written and verbal communication skills.

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to [Confidential Information] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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About Company

Job ID: 143742631

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