Quadric has created an innovative software driven AI inference processor. Licensed as IP, the architecture is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other neural engines in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
Role
The AI Kernel Engineer (New Grad) at Quadric plays a key role in enabling a large number of AI kernels and operators to run efficiently on the Quadric platform. In this role, you will [1] develop a highly efficient Quadric kernel library for a variety of AI/LLM models; [2] analyze performance and optimize kernels for different hardware configurations. This technical role demands a strong foundational knowledge of hardware architecture, software optimization, and the hardware-software interface. This role is based in our Burlingame, California office. We believe strong technical collaboration, rapid iteration, and shared problem-solving are best supported by working together in person. As such, this role follows a hybrid schedule with at least two in-office days per week expected.
Responsibilities