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. HPC SW team is expected to gather requirements, design and develop software infrastructure features for the image computer sub-system of the wafer inspector software. HPC SW engineer will have skills to acquire, transform and present data from various sources to run advanced image processing algorithms on a high-performance cluster. Ideal candidates are passionate about software and computer architecture. They will have exceptional skills and hands on experience with development in Java and C++ in a Linux environment. A deep understanding of multi-threaded, multi process and distributed software systems working in Linux HPC clusters is needed. Although familiarity with Machine Learning and Deep Learning solutions would be a big plus, this is primarily a Software Engineering Infrastructure position. * Object Oriented Design & Programing in Java or C++ * Data Structures and algorithms * Linux System Programming * Distributed & HPC Systems * Scripting using python * Understanding of various networking stacks Desirable Skills * Cloud technologies for network, storage, containerization and compute clusters. E.g., Docker, Singularity * Building and configuring Linux kernels, and designing and troubleshooting network infrastructure; * Linux Device Driver Development * GPU Architectures and CUDA (CuGraph, CuData, CuML etc). * Distributing computing frameworks like Apache Spark, DASK; * Data science skills to acquire, transform and present data from various sources to build powerful debugging and analysis software. * Fluent in English Master's Level Degree or work experience of 0 years , Bachelor's Level Degree or work experience of 1 years 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 talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.