ML Kernel Performance Engineer, Edge AI and Science (Vancouver)

Job Overview

Amazon Devices is an inventive research and development company that designs and engineers high‑profile consumer products like the Kindle family, Fire Tablets, Fire TV, Health & Wellness devices, Amazon Echo, and Astro. We are building the next generation of edge AI capabilities through our advanced compression platform and custom neural accelerator silicon. Within Edge AI & Science, the AI Platform team builds a compression platform—the first of its kind—enabling 20‑100x neural network compression for edge and cloud deployment.

We are looking for an ML Kernel Performance Engineer to work at the hardware-software boundary of this platform, crafting high-performance CUDA and Triton kernels that make our compression algorithms run at peak efficiency during training, fine‑tuning, and inference.

Key Responsibilities

• Design and implement high-performance CUDA and Triton kernels for quantization‑aware training, sparse matrix operations,...