Quadric licenses the Chimera GPNPU, a processor IP core for edge AI inference that also runs C++ code. Its stack spans RTL and verification (SystemVerilog, UVM, SystemC) alongside a compiler toolchain (MLIR, LLVM, ONNX, XLA), so it is building silicon IP and software together. Engineering-dominated, accelerating hiring targets kernel libraries for LLMs and an agentic field-engineering toolkit aimed at turning customer evaluations into design wins.
Quadric, founded in 2017 and headquartered in Burlingame, CA, licenses an AI processor architecture built for inference on edge devices. Its Chimera GPNPU combines scalar, vector and matrix processing in a single core, letting developers run neural networks and C++ application code without splitting work across multiple processors. The core scales from 1 to 864 TOPS, targeting chip designers integrating AI into SoCs. The privately held company has 51–200 employees and hires in the United States.
Quadric works with C++, Python, SystemVerilog, Verilog, UVM and SystemC for hardware, plus MLIR, LLVM, ONNX, XLA, PyTorch and TensorFlow for its compiler and ML toolchain.
Yes. Hiring is accelerating and heavily concentrated in engineering, mostly senior and staff levels, with some intern, data and product roles, all in the United States.
Current work includes PPA optimization, SoC subsystem integration, efficient kernel libraries for AI and LLM models, performance profiling across hardware configurations, and an agentic field-engineering toolkit.
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Quadric's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
