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What you’ll be doing:
Explore innovative GPU composition and novel system functionalities related to processing and storage.
Connect with GPU architecture designers to make advised and random functional testing plan which provides good coverage.
Innovatively develop and improve infrastructure and methodology to generate tests.
Massively generate, run and debug tests in various platforms, e.g., functional simulator, full chip and unit-level RTL, emulator and silicon.
Build innovative tools to improve efficiency.
What we need to see:
Knowledge of computer architecture, compiler, assembly language.
Good understanding of GPU concept and pipeline, in terms of parallel computing and/or memory system.
Familiar with Linux
Good at C++ and Python development.
Bachelor in CS or EE. MS or PhD or equivalent experience is a plus.
Ways to stand out from the crowd:
Knowledge and experience of CUDA programming and debugging.
Random system development and work experience.
ASIC experience.
Compiler experience
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