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EdgeCortix

Fabless AI accelerator designer for edge

Accelerator IP Design Engineer - ASIC, RTL

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeKawasaki, Kanagawa, Japan

About the Job

Requirements

  • Ability to write clean, readable, synthesizable register-transfer-level (RTL) code.
  • Familiarity with AXI, Avalon, or similar protocols.
  • Experience in low-power RTL design.
  • Experience performing logic synthesis using Cadence or Synopsys tools.
  • Experience writing timing constraints and power-intent definitions.
  • Experience optimizing designs for timing.
  • Experience using power-analysis tools such as Joules or PowerPro.
  • Understanding of physical-design issues.
  • Understanding of fixed-point arithmetic for approximating floating-point computations.
  • Experience with verification using SystemVerilog and UVM.
  • Decent scripting and automation skills using Tcl, Python, and Make.
  • Basic programming skills in statically typed languages such as C++ or Java.

Responsibilities

  • Design RTL and perform module-level verification for modules of the inference accelerator IP.
  • Participate in synthesis, static timing analysis, and power-estimation activities.
  • Propose and implement low-level microarchitectural optimizations to improve area, power, and placeability or routability while targeting specific technology processes and power and area budgets.
  • Work with architects to support architectural decisions and provide expert feedback to ensure high design scalability.
  • Collaborate with architects and compiler engineers to determine how to implement new functionality and define architectural specifications.
  • Engage in system-integration activities for system-on-chip design using third-party intellectual property and integration tools.
  • Engage in IP-level and system-level verification and debugging using SystemVerilog and UVM.
  • Follow engineering practices including code reviews, technical documentation, testing, continuous integration, and release engineering.

Desired Qualifications

  • Experience with DDR, PCI Express, MIPI CSI, or other high-speed protocols.

About the Company

EdgeCortix

Fabless AI accelerator designer for edge

EdgeCortix designs energy-efficient AI accelerators and software for edge computing in a fabless model, co-designing hardware and software to optimize AI performance on edge devices. Its main products are AI-specific processors and a software platform that, together, enable deploying AI at the edge with low power consumption. Unlike typical hardware vendors, EdgeCortix emphasizes software-centric co-design to maximize efficiency, aiming to deliver scalable edge intelligence for sectors like defense, robotics, and automotive. The company’s goal is to enable practical, power-conscious AI processing on edge devices, supporting broad deployment through its integrated hardware-software ecosystem and ongoing growth funded by investors.

Company size
51-200
Company stage
Debt Financing
Total funding
$197M
Headquarters
Tokyo, Japan
Founded
2019

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