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Senior GPU Memory Subsystem Architect

Nvidia·Bengaluru

Pay not stated3–6 yrsFull-time
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About the role

Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.

What you'll do

  • Contribute to advancing GPU Architecture and Simulators, GPU testing infrastructure, metrics, and/or compilers
  • Performance modeling and simulation of features to improve memory system efficiency
  • Develop test plans and testing infrastructure
  • Debug tests on architecture simulators
  • Performance analysis/ bottleneck analysis of sophisticated, Memory subsystem units and features

What you need

  • 3–6 yrs of experience
  • C++
  • Verilog
  • Test cases
  • VLSI
  • C
  • B.Tech or B.E. or B.Sc or BCA

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