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EdgeCortix

Fabless AI accelerator designer for edge

Embedded Software Engineer

Embedded EngineeringConfirmed live in the last 24 hours
Full-timeKawasaki, Kanagawa, JapanIn-person

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, or a related field and 6–8 years of software engineering or related work experience.
  • A proven track record in software engineering with exposure to machine learning, deep learning, multimedia, and real-time systems.
  • Programming experience in C or C++ and extensive experience in bare-metal and FreeRTOS programming.
  • Experience working with IDEs such as E2 Studio and STM MCU Cube.
  • Experience working with hardware PCB devices such as Edge AI co-processors and GPUs.
  • Extensive experience working with MCUs such as ARM/Renesas and STM devices.
  • Software (firmware) and hardware (PCB) debugging skills.
  • Ability to read and understand hardware schematics.
  • Ability to work independently in a continuously changing environment.

Responsibilities

  • Design, develop, and maintain software and firmware for Edge AI devices.

Desired Qualifications

  • A PhD or master's degree in Engineering, Computer Science, or a related field and 5–6 years of software engineering or related work experience.
  • Hands-on experience developing machine-learning-driven real-time embedded systems.
  • Experience developing firmware for Board Management Controllers (BMCs), controlling power distribution networks, and leveraging on-board sensors.
  • Experience developing highly robust real-time systems.
  • Expertise in Embedded Linux.
  • Knowledge of operating system fundamentals, data structures, the Linux kernel, and its device driver model.
  • Knowledge of scripting languages such as Python.
  • Experience using machine learning frameworks to export and deploy models.
  • Prior experience with industry-standard protocols such as I2C, JTAG, and SPI.

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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