AI accelerator IP for on-device inference
Quadric develops licensable General Purpose NPU (GPNPU) processor IP and toolchain for efficient on-device AI inference. It enables chip designers to integrate flexible AI acceleration into SoCs for edge devices, automotive, and enterprise applications. The programmable architecture supports current and future models without hardware changes, scaling up to 864 TOPS.
Build and lead marketing from the ground up for a growth-stage edge AI semiconductor IP company. Own strategy, brand narrative, product marketing, PR, and GTM initiatives while partnering closely with technical and executive teams.
Internship focused on model pruning for neural network inference optimization on Quadric's GPNPU architecture. MS student role requiring Python, PyTorch pruning experience, and quantization knowledge.
MS student intern implementing and optimizing ONNX operator kernels for a GPNPU architecture, leveraging C/C++/Python and performance profiling skills.
New grad Data Scientist role focused on model optimization and quantization for Quadric's custom GPNPU architecture. Own quantization workflows, extend quantization libraries, and build accuracy testing infrastructure. Requires strong Python/PyTorch skills and ML foundations.
Design Verification Intern responsible for documenting test plans, writing/debugging tests, and generating coverage for CPU/GPU designs using SystemVerilog or similar. Must be pursuing a degree in CS or EE and available to work onsite in Burlingame, CA.
Own the software roadmap and monthly SDK release train for Quadric's Chimera Graph Compiler, driving pattern coverage, quantization strategy, and customer model integration for an AI NPU platform. Requires 5+ years PM experience on a developer-facing AI/ML or compute platform.
Own the Chimera GPNPU IP hardware roadmap and PPA targets for Quadric. Drive architecture decisions, anchor-customer engagement, and feature gating for silicon shipping 2027-2028. Requires 5-8 years silicon PM experience and deep NPU/SoC expertise.
Develops and optimizes deep learning compiler passes for Quadric's GPNPU, lowering ONNX models through Relay IR to efficient C++ code. Requires new grad-level proficiency in Python, C++, and compiler concepts like IR transformations and debugging.
Develops custom quantization algorithms and prototypes for optimizing ML models on Quadric's GPNPU hardware. Requires MS/PhD, 5+ years in model optimization, deep quantization expertise, and Python/PyTorch proficiency.
Leads end-to-end ISO 26262 functional safety certification for NPU software stack, including AI compilers like TVM and LLVM. Ensures compliance with automotive standards, develops safety processes, and supports customer certifications. Requires 8+ years experience and compiler expertise.
Analyzes performance across software/hardware stack for neural processing unit, identifies bottlenecks from C++/Python to assembly, and prototypes optimizations. Requires 5+ years experience, deep architecture knowledge, and cross-team collaboration in a hybrid office role.
AI Inference Engineer ports, optimizes, and benchmarks AI/LLM models on Quadric's GPNPU platform for edge devices. Requires 5+ years in model inference frameworks, quantization expertise, and proficiency in C++/Python.
Develops and optimizes AI/LLM kernels for efficient neural network inference on Quadric's GPNPU platform. Requires 5+ years in AI kernel development, C/C++ proficiency, and experience with compute frameworks like CUDA or DSP.
Leads program management for AI acceleration chips and embedded systems, overseeing software/hardware releases, customer requirements, cross-functional execution, and safety certifications. Requires 15+ years experience, master's in CS, and expertise in PM tools and AI/ML domains.
Leads quality assurance for AI software stack including Chimera Graph compiler and LLVM backend, managing test strategy, team, and FUSA/ISO 26262 certification. Requires 5+ years in test management for embedded/AI systems and expertise in testing complex software.
Develops and maintains web platform (DevStudio) for neural processing unit toolchain, implementing features, providing support, and troubleshooting issues in collaboration with engineering teams. Requires 5+ years full-stack experience with Golang backend and React frontend expertise.
Develops AI applications and demos using Quadric's SDK, integrates products into AI/LLM frameworks, optimizes models for edge devices, and provides technical leadership and support to customers and developer community. Requires 5+ years with AI frameworks like PyTorch or TensorFlow, plus Python/C++ proficiency.
Develop and architect testbenches for GPNPU processors, implementing verification using UVM or C/C++, drivers, and coverage metrics. Requires 5+ years in CPU/GPU design verification with assembly and Python experience.
Designs and implements microarchitecture and RTL for innovative neural processing unit using SystemVerilog/SystemC. Optimizes PPA, contributes to timing closure, requires 5+ years CPU/GPU/ASIC experience and strong computer architecture background.
Develops and optimizes deep neural networks for Quadric's GPNPU architecture, focusing on algorithmic lowering, graph-based execution, and performance extraction. Requires MS/PhD, 8+ years experience in optimization, ML algorithms, and graphs.