What is a AI Engineer at quadric?
An AI Engineer at quadric sits at the cutting-edge intersection of high-performance silicon and deep learning software. Unlike traditional software roles, engineering at quadric requires a deep understanding of how neural network architectures map directly onto custom hardware. You will be working on or around the Chimera GPNPU (General Purpose Neural Processing Unit), a unique architecture designed to blend the performance of a hardwired accelerator with the complete programmability of a modern CPU.
Depending on your specialization—whether you focus on AI Inference, AI Kernels, or AI Applications—your work directly influences how efficiently state-of-the-art models run in resource-constrained edge environments. You might be optimizing compiler graphs using tools like Apache TVM, writing highly parallelized vector kernels in C++, or pruning massive models to run on ultra-low-power silicon without losing accuracy.
This role is critical to the business because software is the bridge that unlocks the power of quadric hardware. Without highly optimized compilers, runtimes, and kernels, even the fastest silicon remains underutilized. By joining this team, you will help build the developer ecosystem and execution pipelines that allow enterprise customers to deploy next-generation vision, audio, and generative AI models seamlessly at the edge.