Embedded Software Engineer

Embedded Software Engineer

Position Overview

We are seeking an experienced Embedded Software Engineer with a strong background in

software/firmware development on ARM-based platforms. Additionally, the ideal candidate will have

hands-on experience with real-time operating systems, embedded C/C++, and modern development

practices.

Key Responsibilities

• Design, develop, and maintain embedded software for ARM-based microcontrollers.

• Implement solutions using FreeRTOS or Zephyr RTOS.

• Perform requirements-based development while innovating and creating concepts without

formal requirements.

• Collaborate with hardware engineers to integrate software with Nordic and

STMicroelectronics platforms or equivalent.

• Develop and optimize code for performance, reliability, and low power consumption.

• Debug and troubleshoot embedded systems using industry-standard tools, test equipment,

and software.

• Document designs, code, and test results for internal and external stakeholders.

Required Qualifications

• Experience: 7–10 years of embedded software development.

• Languages: Proficiency in C/C++ and Embedded C; Python is a plus.

• Strong understanding of ARM architecture and embedded systems design.

• Hands-on experience with FreeRTOS or Zephyr RTOS.

• Ability to work on both structured, requirements-driven projects and exploratory concept

development.

• Develop and run test plans when applicable.

• Familiarity with communication protocols such as SPI, I2C, UART, CAN, and BLE.

• Skilled in debugging tools (e.g., JTAG, SWD) and version control systems (e.g., Git).

Preferred Skills

• Experience with Nordic Semiconductor and STMicroelectronics platforms is a plus.

• Knowledge of low-power design techniques.

• Exposure to CI/CD pipelines for embedded systems.

• Experience with GIT, Bitbucket, etc. for version control and collaboration.

• Knowledge of IoT protocols such as Ethernet, USB, Zigbee, MQTT, Wi-Fi, and CoAP.

• Experience with the LoRa protocol is a plus.

Experience deploying Tiny Machine Learning models.