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. Robust background in architecture and DL math is valued.
📌 Co-Design & Next-Gen AI Performance Engineer (Toronto)
🏢 Foundation Capital
📍 Toronto
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