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ASIC Methodology, Flow and Integration Engineer

Nvidia·Bengaluru

Pay not stated1–4 yrsFull-time

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About the role

It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.

What you'll do

  • Operate beyond RTL coding—building infrastructure and systems that are modular, reusable, and easily deployable across diverse silicon platforms
  • Stitch together RTL units and ensure seamless connectivity, and hierarchy management
  • Define and evolve internal design methodologies to improve scalability, quality, and turnaround time
  • Build automation pipelines using Python/Perl to streamline integration, debug, and delivery
  • Develop modular and reusable systems that can be easily delivered and adapted across different SoC and GPU architectures

What you need

  • 1–4 years in software engineering
  • Python
  • VLSI
  • Perl
  • B.Tech or B.E. or M.Tech

What you get

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