R&D Engineer, HPC Systems

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

• Expose limitations in existing solutions, based on clusters of CPUs & GPUs, to deploy AI-based solutions on on-prem & cloud infrastructures at scale.
• Develop distributed frameworks and system-level solutions that enable scaling out image processing & AI loads from single GPU to multi-node clusters with multiple GPUs.
• Install, benchmark, and evaluate pre-release hardware for early-stage evaluation and prototyping by identifying (or developing) relevant workloads.

Minimum Qualifications

Things to Make us go Wow!

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