Cerebras Systems builds an AI hardware platform designed to accelerate model training and inference at scale. The role focuses on characterizing, analyzing, and optimizing performance of state-of-the-art AI models running on Cerebras’ WSE hardware. You will work across hardware and software to identify bottlenecks, improve efficiency, and influence next-generation architecture and software systems. Solid background in architecture and DL math is valued.