Your silicon. Your models. Your roadmap. Flexible AI accelerator IP that is powering the next generation of AI chips. Backed by Pear VC.
About the role
As a AI Kernel Engineer Intern , you will work closely with our senior AI Kernel Engineers to help enable a variety of AI/LLM models to run efficiently on the Quadric platform. This is a hands-on role where you will dive deep into hardware architecture and optimization techniques. You will gain invaluable experience developing, profiling, and optimizing kernel code, directly contributing to the performance of our AI inference stack.
What they're looking for
- Required
- Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field
- Strong proficiency in C/C++ and Python
- Solid foundational understanding of computer architecture and hardware-software interaction
- Demonstrated capability in problem-solving, debugging, and clear technical communication
- Preferred
More about this role
Quadric is redefining edge AI with the industry's first General Purpose Neural Processing Unit (GPNPU), enabling developers to run both neural network inference and conventional C++ code on a single programmable architecture. Our technology powers intelligent edge devices across automotive, industrial, robotics, and embedded systems.
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.
As a AI Kernel Engineer Intern , you will work closely with our senior AI Kernel Engineers to help enable a variety of AI/LLM models to run efficiently on the Quadric platform. This is a hands-on role where you will dive deep into hardware architecture and optimization techniques. You will gain invaluable experience developing, profiling, and optimizing kernel code, directly contributing to the performance of our AI inference...
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