KLA Careers

Sr Systems Software Engineer (CUDA)

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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!


Engineers in the BBP HPC team will be working on ultra-high performance image processing and computer vision algorithms. The candidate will  research and develop novel programs to accelerate machine learning and deep learning model training and inferencing. Successful candidates are passionate about software, and will have exceptional skills and hands on experience with development in C/C++ and CUDA.  Deep conceptual understanding of multi-threaded, multi process and distributed software systems is necessary. The ideal candidate should have an MS or PhD in HPC architectures,  familiarity with hardware GPU architectures.  The person should also have a keen interest in the deep learning application space with the ability to map complex deep neural architectures to practical system implementations.


This job involves optimizing code to run on GPUs. Using prebuillt libraries (e.g. cuBLAS, NPP) will be part of the job, but also coding and performance tuning new functions using CUDA.  Full stack optimization is desired, so a willingness to explore and suggest alternate, more GPU friendly, algorithms to accomplish a given task is a plus as is the ability to recognize when a given algorithm step should be left on the CPU.



  • GPU Architectures and CUDA (CuGraph, CuData, CuML etc).
  • C++ program and Python
  • Understand machine learning and deep learning concepts.
  • Doctorate (Academic) with at least 2 years of experience OR Master's Level Degree with at least 4 years of experience OR Bachelor's Level Degree


Preferred Qualifications:

  • Deep understanding of Linux operation system;
  • Creating the techniques and methods to integrate multiple hardware and software subsystems to solve advanced technical challenges;
  • Understanding of image processing and computer vision algorithms

Minimum Qualifications

Doctorate (Academic) with at least 2 years of experience.
Master's Level Degree with at least 4 years of experience.
Bachelor's Level Degree with at least 5 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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