IoT Embedded Software Engineer (C++, ESP32, nRF or STM32, Nvidia, nRF)

WizzDev focuses on embedded platforms, developing laboratory automation software, and providing bespoke solutions from live science to automation industries. We are a team of experienced and highly-skilled engineers with capabilities in a wide range of services. Thus we are able to meet the sophisticated challenges and requirements of the IoT industry. We thrive at both data acquisition and visualization as well as offering customized services in the field of PCB design.

WizzDev always has several interesting projects going on which use new technologies. Below are some examples of what you may get involved in:

• Internet of Things systems data acquisition and analysis,
• Medical Device/Life Science development based on NVIDIA, FPGA or ASIC,
• Embedded & Firmware Development and Cross-Platform Desktop Applications,
• Programming and electronics design for Internet-connected devices,
• Developing bespoke R&D instrument control Graphical User Interfaces.

• Degree in a field (computer science, robotics, telecommunication).
• Minimum 2 years (after MSc) of commercial experience in C++ language for mid, 5 years for senior.
• Knowledge of Git version control system and Git-flow process.
• Experience working in embedded systems or IoT environment.
• Communication skills and practical use of English - ideally C1.
• Basic knowledge in one of the following areas: microprocessor programming, IoT systems, real-time signal processing, control theory or robotics.
• Experience with STM32, nRF or ESP32 platforms.
• Strong motivation to learn new skills and good practises.

Nice to have:

• Working knowledge of advanced C, including Qt, CMake, GTest and Valgrind.
• Experience with NVIDIA (Jetson).
• Knowledge of HTTP, Wi-Fi, MQTT, GPS, BLE, LoRa or Zigbee.
• Knowledge of additional languages: Python, TypeScript, CUDA.
• Knowledge of development tools in a Linux or Windows environment.
• Experience with bare-metal software as well as FreeRTOS.
• Prior experience with AWS IoT Core, Azure IoT or Google Cloud IoT.
• Understanding of Embedded Linux architecture e.g. Yocto, Ubuntu.
• Knowledge of machine learning / AI methods.

• Design and develop firmware that integrates with IoT cloud platforms and mobile applications.
• Create and implement IoT system architectures and solutions, from concept to deployment.
• Ensure high code quality by applying best practices, SOLID principles, design patterns, and scalable software architecture.
• Lead projects by providing technical analysis and working with the customer as a technical contact.
• Contribute to IoT product launches, ensuring robust and production-ready solutions.