Q

Quadric

GPNPU hardware and software for ML

Senior Hardware Engineer - Micro-Architect

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeBurlingame, CA, USAIn-person

About the Job

Requirements

  • A BS, MS, or Ph.D. in Electrical or Computer Engineering and a minimum of five years of CPU, GPU, or ASIC front-end design experience.
  • Proficiency in SystemC, SystemVerilog, or Verilog.
  • A strong background in computer architecture.
  • Knowledge of design techniques for low-power digital design.
  • Knowledge of VCS and Verilog/C co-simulation.
  • Experience in data-parallel hardware design for high-performance computing.
  • Experience in logic synthesis and performance modeling.

Responsibilities

  • Contribute to defining the processor architecture by understanding its applications.
  • Own the processor's microarchitecture definition and RTL implementation in SystemC or SystemVerilog.
  • Own power, performance, and area optimization.
  • Contribute to timing closure throughout the full product cycle, including front end, back end, and tapeout.
  • Independently own a major design block and improve power, performance, and area.
  • Develop an in-depth understanding of the architecture and software interfaces and debug issues across the full software and hardware stack.
  • Package designs for customer releases and incorporate customer feedback.

Desired Qualifications

  • Experience in FPGA design.
  • Experience marketing semiconductor IP, AI accelerators, SoCs, EDA tools, or developer platforms.
  • Familiarity with automotive safety (ASIL) standards.

About the Company

Quadric

GPNPU hardware and software for ML

Quadric.io provides an integrated hardware-software platform for ML on System-on-Chips, centered on its Chimera General-Purpose Neural Processing Unit (GPNPU). Developers write ML code in C, which is compiled by the Chimera LLVM C Compiler, simulated with the Chimera Instruction Set Simulator (ISS), and deployed via a Software Development Kit (SDK) that supports design, profiling, and execution on Chimera. The solution is a single, end-to-end pipeline that eliminates the need to partition code across DSPs/GPUs and CPUs, offering tightly integrated hardware and software tools that can run a wide range of C-based neural-network operations. Quadric.io aims to simplify and accelerate the design of ML-enabled SoCs for semiconductor developers and manufacturers, enabling faster time-to-market and better ML performance through its cohesive hardware-software stack.

Company size
51-200
Company stage
Series C
Total funding
$94.3M
Headquarters
Burlingame, CA
Founded
2017

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