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
Quadric is building the world’s first General-Purpose Neural Processing Unit (GPNPU) architecture, bringing high-performance AI, DSP, and ML compute to edge devices. As a Deep Learning Compiler Engineer , you will design and optimize the compiler stack (MLIR, TVM, LLVM) that bridges state-of-the-art neural network frameworks directly to our proprietary hardware architecture. You'll play a critical role in unlocking peak hardware performance, low latency, and memory efficiency for edge AI workloads.
What they're looking for
- BS, MS, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field
- 8+ years Hands-on experience developing deep learning compilers or compiler infrastructures (e.g., MLIR, Apache TVM, LLVM, XLA, TensorRT, or Glow)
- Strong proficiency in C++ (14/17/20) and Python, with solid fundamentals in data structures, algorithms, and object-oriented design
- Familiarity with modern AI/ML frameworks (PyTorch, TensorFlow, ONNX) and deep learning operator representations
- Solid understanding of computer systems, memory hierarchies, parallel processing, and CPU/GPU/NPU instruction execution
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.
Quadric is building the world’s first General-Purpose Neural Processing Unit (GPNPU) architecture, bringing high-performance AI, DSP, and ML compute to edge devices. As a Deep Learning Compiler Engineer , you will design and optimize the compiler stack (MLIR, TVM, LLVM) that bridges state-of-the-art neural network frameworks directly to our proprietary hardware architecture. You'll play a critical role in unlocking peak hardware...
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