KLA Careers

Head of Research, KLA Advanced Computing Labs, India

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?

Group/Division

With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers.

About KLA Advanced Computing Labs, India:

KLA advanced computing Labs’ mission in India is to deliver advanced parallel computing research and software architectures for AI + HPC + Cloud solutions to accelerate KLA’s product performance. This team explores high-risk approaches, pioneering technologies, and novel methods to accelerate KLA’s algorithms and contribute to KLA’s HPC technology roadmap. We engage leading thinkers in academia, industry and KLA’s business units to create innovative parallel computing methods to enable KLA’s business growth.

 

Responsibilities

Position: Head of Research, KLA ACL, India

We are seeking a motivated leader & researcher to lead our team of research engineers in advanced parallel computing methods to accelerate our flagship semiconductor inspection equipment’s algorithms. This team researches in low-level GPU based optimization (CUDA), FPGA based acceleration (RTL + HLS), ASIC based methods, alternate architectures, optimizing compute & data heavy algorithms, radical new compute acceleration technologies and other novel combinations of multiple high-performance compute methods.

 

At the same time, in order to bridging productivity gaps, higher level compilers in a language such as Modern C++ and Sycl are expected to be heavily deployed.

 

In this position you will be responsible for conceiving, researching, and prototyping advanced techniques in parallel computing based optimization of KLA’s algorithms in defect inspection, and classification. As a research head, you have to lead collaborations between KLA’s business units, global AI teams, academic and industry partners. You will apply your strong knowledge of research methodologies, & scientific principles to identify and research promising technologies up to 5 years ahead of implementation in core products. This requires a good understanding of state-of-the-art techniques in parallel computing, machine learning, distributed computing, optimization of algorithms, and benchmarking, along with a strong understanding of computer architecture. You must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding cross-functional, cross-continental team setting. You are expected to maintain substantial knowledge of state-of-the-art principles and theories, and contribute regularly to scientific literature and the research community inside KLA.

 

Qualifications

Qualifications:

  • Core Background: PhD in Electrical/Computer Engineering, Computer Science, or a relevant engineering discipline
    • 15+ years Research experience in advanced computing technologies & architectures
    • The ideal candidate should be comfortable in the computational stack from “Gates to C/C++”: from RTL to HLS in FPGAs to CUDA C++.
    • A strong background on “Computation Complexity” as it pertains to algorithms in the fields of DSP + Image Processing.
  • Preferred experience: in areas such as machine learning, AI, processor specific algorithm optimization, low level optimization on GPUs, FPGA based acceleration, & ASIC development.
  • Leadership: Ability to interact, coach, mentor, guide engineers ranging from entry level (BS/MS/Ph.D) to 10+ years.
  • Bonus: Any experience in working areas such as Quantum Computing or Photonics based acceleration.