The AI Kernel Engineer will develop and optimize a kernel library for various AI models, utilizing deep knowledge of hardware architecture and performance tuning.
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware 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 NPUs or neural network accelerators 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 in Quadric plays the key role to enable a large number of AI kernels/operators to run efficiently on the Quadric platform. The AI Kernel Engineer at Quadric will [1] develop a highly efficient Quadric kernel library for a variety of AI/LLM models; [2] analyze the performance and optimize the kernel for different hardware configurations; This senior technical role demands deep knowledge of hardware architecture, compiler toolchain and optimization techniques.
Responsibilities
Requirements
Benefits
Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.
Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability or any.
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Quadric builds a groundbreaking general purpose neural processing unit (GPNPU) architecture that enhances the performance of neural network inference on edge devices. Our technology caters to developers and businesses looking to leverage AI in real-time applications, distinguishing itself by combining supercomputing capabilities with the immediacy required by the edge.
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