Lead AI Infrastructure Engineer

Company hidden

Austin, Texas Posted 2w ago
The vast part of the execution graph is implemented as a chain of neural network operations. The onboard mode relies on stable latencies of the inference of those networks, while in simulation we also optimize throughput at scale. WHAT YOU'LL DO * At first, you will take on the GPU inference framework, focusing on performance * Later, the role assumes responsibility and ownership for broader ML infrastructure scattered across ML pipelines * Close collaboration with the applied ML team responsible for defining the neural model's architecture WHAT YOU'LL NEED * Experience with PyTorch *…

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