AI Kernel Engineer

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 Develop AI/LLM kernels/operators on Quadric platform for efficient inference Optimize the 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++ codes, maximize hardware utilization Collaborate across related areas of the AI inference stack to support team and business priorities Make Improvement to Quadric toolchain, compiler and runtime Provide technical support and documents to customers and developer community Provide competitive salaries and meaningful equity Provide a politics free community for the brilliant minds who want to make an immediate impact Provide an opportunity for you to build long term career relationships Foster an environment that allows for lasting personal relationships alongside professional one 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.
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Bachelor’s or Master’s in Computer Science and/or Electric Engineering 5+ years of experience in AI kernel development and optimization experience with model and kernel inference performance profiling experience with at least one of the following compute development: CUDA, DSP, NEON, Triton-lang Proficiency in C/C++ and Python, experience with assembly language a plus Demonstrate good capability in problem solving, debug and communication