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?


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.

First to deliver the best imaging and classification data for every defect or point on any layer at any time.

EBeam’s mission encapsulates its role as the “eyes” of KLA’s product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible.  Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process.

The EBeam algorithms group operates in the very challenging environment of the rapidly evolving semiconductor industry. The group designs and develops cutting edge defect detection and classification systems using state of the art deep learning, computer vision and image processing algorithms to push the limits of sensitivity on these systems. Robustness and real time execution requirements keep algorithm design and implementation very interesting. Members in the team often visit customer sites to solve live issues.  

This position demands one to thrive in a highly cross functional environment 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. We are also constantly pursuing system level solutions for these complex automated platforms.



Responsibilities include
  • Design, development and implementation of cutting edge machine learning, deep learning, computer vision and image processing algorithms
  • Write robust production quality code.
  • Develop end to end solutions that are holistic taking into account the system, imaging pipeline, the user experience and the end application requirement.
  • Rapid prototyping and validation of new machine learning and image processing algorithms
  • Work in a highly cross functional organization to participate/drive systems integration and testing of algorithms
  • Identify bottlenecks and optimize algorithm implementation or process-flow for improved performance


Doctorate (Academic) in Computer Science, Computer Engineering, Electrical Engineer, Mechanical Engineer, Mathematics, or Physics

  • Strong background in one or more of the following areas: Machine Learning, deep learning, computer vision, image processing OR experience with performance optimization, OR strong knowledge of computer architecture.
  • Proficiency in C++, python and object oriented design
  • Knowledge of common deep learning frameworks like TensorFlow, Caffe, MatConvnet etc.
  • Ability to formulate problems into mathematical equations.
  • Team player with excellent written and verbal communication skills and a focus on collaboration
  • Ability and willingness to travel worldwide to support demos and projects at customer sites.

New college grads (NCG) with 1+ years of professional or research experience in one or more of the following fields: Machine learning, Deep learning, image processing, computer vision are welcome to apply.

Minimum Qualifications

PhD with 2 years OR MS with 5 years experience 

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.