KLA Careers

Engr, Software 2

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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?


KLA has always had a close relationship with physics and data.  Our optical and electron beam inspection and measurement tools use cutting edge physics models, both for hardware design and as part of their algorithms.  AI, including several traditional machine learning techniques and deep learning are routinely used to process this data to meet application requirements.

The AI & Modeling Center of Excellence, centered in KLA’s R&D facility in Ann Arbor, MI, was setup with the mission of advancing KLA’s traditional strengths in physics and data and providing implementation solutions for multiple KLA Inspection and Metrology products targeted at the semiconductor manufacturing industry.


As a part of this group, you will be part of a world class team of physicists, HPC system designers, machine learning and application engineers who build cutting edge solutions for modeling complex imaging techniques and semiconductor processes.  You will also work with a data scientists and AI infrastructure engineers whose mission is to build and scale machine learning based solutions for our semiconductor customers.

We are looking for engineers in a few different fields.  If you are passionate about Physics Modeling, High Performance Computing - HPC (including GPU), ML, Data, or Cloud technologies – this is the place for you!



As a Software Engineer on our team, you will be responsible for the development of next generation software solutions using latest technologies for our Machine Learning and Deep Learning Applications that are composed of web UI, micro service, and big data stack. You will be responsible for creating scalable and reusable backend components and integrate into our next generation wafer inspection and analysis tools.  

The primary job responsibilities include: 

  • Full software life-cycle development including gathering requirements, designing the application, developing and testing a software User Interface feature 
  • Develop backend server using C#/.net core/Java 
  • Handle big data using hybrid CPU/GPU compute platform 
  • Design and Generate scalable RESTful API  
  • Participate in full software life-cycle development including data storage design, UI design, development, testing and deployment. 

The ideal candidate will have the following skills 

  • Strong Analytical Skills  
  • Programming using any one of high-level languages - Typescript, JavaScript, C#, C++, Java 
  • Basic knowledge of HTML, CSS, JavaScript frameworks (AngularJS, NodeJS) and JSON 


Bachelor’s or Master’s experience in following one or more of the programming languages: Typescript, Angular\JavaScript, C#, C++ and Java .


Must be able to travel as needed.

Minimum Qualifications

Master's Level Degree OR Bachelor's Level Degree with at least 1 years of 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.

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