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. Group/Division KLA advanced computing Labs’ (ACL) mission in India is to deliver advanced parallel computing research and software architectures for AI + HPC + Cloud solutions to accelerate the performance of KLA's products. ACL explores high-risk approaches, pioneering technologies, and novel methods to accelerate KLA’s algorithms and contribute to KLA’s HPC technology roadmap. Located out of the IIT Madras Research Park in Chennai, India, we engage leading thinkers in academia, industry and KLA’s business units to create innovative parallel computing methods to enable KLA’s business growth. Job Description/Preferred Qualifications Your Day-to-day Roles Analyse existing software solutions for training and deployment and identify limitations. Design, develop, test, and deploy software solutions that addresses the above limitations and enable deployment in a heterogenous cluster. Collaborate with a global team in developing such solutions. Minimum Qualifications Bachelors degree in engineering with 2-5 years experience or Masters degree holders in engineering with 1-3 year experience in the field of data science; candidates with less experience may be considered if they have a remarkable track record in data science and infrastructure development. Strong programmer skills with background in one or more of the following languages: Python, Java, C++, C Proficient scripting skills in Python, Bash, or similar. Good understanding of operating systems, distributed systems, and high-performance applications. Working knowledge of Machine Learning/ AI. Go-getter attitude with curiosity to learn new advancements in the field of data science. Things to Make us go Wow! Active work in AI frameworks like TensorFlow, PyTorch, ONNX. Hands-on experience working with container infrastructure like Docker or Kubernetes. Background in modern programming languages with RUST. Experience with building open-source operating systems and software stacks. Experience with writing performance-sensitive python programs using frameworks like Triton, polars, etc. 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 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. Show more Show less
