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Embedded Software Engineer

Confidential

Kawasaki, Kanagawa permanent

Posted: March 23, 2026

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Quick Summary

We are seeking a skilled and experienced Embedded Software Engineer with a demonstrated history of delivering exceptional software solutions. The ideal candidate will be responsible for designing, developing, and maintaining software and firmware for cutting-edge Edge AI devices.

Job Description

Job Description
We are seeking a skilled and experienced Embedded Software Developer with a demonstrated history of delivering exceptional software solutions. In this role, you will be responsible for the design, development, and maintenance of software and firmware for cutting-edge Edge AI devices. This position offers the opportunity to contribute to innovative technologies in a dynamic and collaborative environment.

Qualifications:

Bachelor's degree in Engineering Computer Science, or related field and 6-8 years of Software Engineering or related work experience.

Proven track record in software engineering with exposure to Machine Learning, Deep Learning, Multimedia, and real-time systems.

Solid programming experience in C or C++ and Extensive experience in bare metal and FreeRTOS programming.

Experience in working with IDEs such as E2 Studio / STM MCU Cube

Experience in working with Hardware PCB devices such as Edge AI Co-processors, and GPUs.

Extensive experience in working with MCUs such as ARM/Renesas and STM devicesĀ 

Top-notch Software (Firmware) and Hardware (PCB) debugging skills and problem-solving ability.

Ability to read and understand hardware schematics

Strong communication skills and ability to work independently in a continuously changing environment

Preferred Qualifications:

PhD or Master's degree in Engineering Computer Science, or related field and 5-6 years of Software Engineering or related work experience.

Hands-on experience in the development of machine learning-driven real-time embedded systems

Experience in firmware development for Board Management Controllers (BMCs), controlling power distribution networks, and leveraging on-board sensors

Experienced in the development of highly robust real-time systems

Expertise in Embedded Linux

Extensive Knowledge of OS fundamentals, Data structures, Linux kernel, and its device driver model

Knowledge of scripting languages like Python will be added plus

Experience in using machine learning frameworks to export and deploy models

Prior experience in industry-standard protocols such as I2C, JTAG, SPI

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