AI Kernel Engineer; New Grad

Position: AI Kernel Engineer (New Grad)
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

* Develop AI/LLM kernels and operators on the Quadric platform for efficient inference.

* Optimize kernel performance for different hardware configurations and workloads.

* Profile and analyze kernel performance in terms of compute, data, and parallelism; identify micro-architecture and software bottlenecks and provide optimization solutions.

* Optimize kernel C/C++ code to maximize hardware utilization.

* Collaborate across related areas of the AI inference stack to support team and business priorities.

* Make improvements to the Quadric toolchain, compiler, and runtime.

* Provide technical support and documentation to customers and the developer community.