Firmware Engineer
Pubblicato il 12-09-2026 - BionIT Labs in Puglia
ABOUT THE COMPANY
BionIT Labs is a cutting-edge MedTech company dedicated to transforming lives by integrating Information Technologies into Bionics. Our flagship innovation, Adam's Hand, is the world's first fully adaptive bionic hand. We specialize in developing advanced robotic systems that merge precision mechatronics, advanced electronics, sophisticated embedded software and bio-inspired control algorithms, focusing on creating intuitive, user-centric human-robot interfaces with seamless embodiment and natural dexterity.
THE ROLE
As a Firmware & Embedded AI Engineer, you will be responsible for the core intelligence of our devices. You will lead the design of real-time embedded software, integrating Artificial Intelligence at the edge to process physiological signals and leveraging ROS2 for high-level system orchestration and middleware communication. We are looking for a developer who excels in low-level optimization while maintaining a high-level vision of software architecture and data flow.
RESPONSIBILITIES
- Firmware Engineering: Develop high-performance,
real-time C/C++ code for ARM Cortex-M microcontrollers.
- Edge AI & Signal Processing: Integrate TinyML models and DSP algorithms for real-time pattern recognition (EMG/Inertial data).
- Middleware: Architect the communication layer using ROS2 for seamless data exchange.
- Software Design: Build modular, scalable codebases using OOP principles and modern design patterns.
- Quality & Testing: Ensure reliability through unit testing and Hardware-in-the-Loop (HIL) simulation.
- Leadership & Docs: Mentor junior devs and maintain documentation compliant with MedTech standards (IEC 62304).
QUALIFICATIONS & REQUIRED SKILLS
- Experience: 3+ years in firmware development and embedded systems.
- Core Tech: Expert C/C++, RTOS (FreeRTOS/Zephyr), and ROS2 framework, Python for data analysis/AI training, Knowledge of BLE, CAN, SPI, I2C.
- AI/ML: Hands-on experience with Embedded AI workflows (quantization and MCU depl