Lead Analyst, Algorithm Development (CUDA/HPC)

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.

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

Expected Background

• New/recent College graduates in Ph.D, MS in EE/CS/CSE. Bachelors graduates will also be considered with exceptional background and prior experience.
• Hands-on experience with GPU programming using CUDA, OpenCL or SYCL, and modern CPU programming constructs such as those in C++-14 / C++-17/C++-20
• Exposure to profiling tools such as NSIGHT or VTUNE
• Strong foundation in computer architecture, with interest in high performance parallel processing at the device level (GPUs or CPUs/SIMD)
• Strong mental model of computational loads and ideas on how to map different algorithms to parallel architectures
• Self motivation and a desire to learn

Bonus Skills

• Previous experience or a curiosity to learn solution techniques for solving computational physics problems using modern HPC
• Experience with large-scale distributed HPC systems
• Familiarity with HPC frameworks like TensorFlow, JAX, Open AI Triton etc.

Minimum Qualifications

New/recent College graduates in Ph.D, MS in EE/CS/CSE. Bachelors graduates will also be considered with exceptional background and prior experience

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

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