The Compute System Architect team is dedicated to GPU compute and memory subsystems. As a member of this team, you will explore sophisticated cross-unit features in modern GPU architectures.
Your responsibilities will include:
- Exploring innovative GPU composition and novel system functionalities related to processing and storage.
- Connecting with GPU architecture designers to create advised and random functional testing plans.
- Developing and improving infrastructure and methodology to generate tests.
- Generating, running, and debugging tests in various platforms, such as functional simulators, full-chip and unit-level RTL, emulators, and silicon.
- Building innovative tools to improve efficiency.
To succeed in this role, you will need:
- Knowledge of computer architecture, compiler, and assembly language.
- At least 4 years of working experience.
- A good understanding of GPU concepts and pipelines, including parallel computing and memory systems.
- Familiarity with Linux.
- Proficiency in C++ and Python development.
- A bachelor's degree in Computer Science or Electrical Engineering; a master's or Ph.D. or equivalent experience is a plus.
To stand out from the crowd, consider highlighting:
- Knowledge and experience with CUDA programming and debugging.
- Random system development and work experience.
- ASIC experience.
- Compiler experience.
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