Embedded System Engineer

XpertDirect; Catania; Remoto; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A leading tech company in Italy is seeking an Embedded Systems Engineer with TinyML expertise to develop low-power ML applications. The role involves designing firmware for microcontrollers and collaborating with engineers on cutting-edge AI solutions. Ideal candidates will have solid C/C++ experience and familiarity with ARM Cortex-M. Flexible work options available, including remote work from anywhere in Italy.

Servizi

Flexible working setup from anywhere in Italy

Opportunity to contribute to open-source

Competenze

• Solid experience in C / C++ for embedded systems.
• Familiarity with ARM Cortex-M, STM32, or similar MCUs.
• Understanding of low-power, memory-efficient code design.

Mansioni

• Design and develop embedded firmware for TinyML applications.
• Integrate and optimize ML models using frameworks like TensorFlow Lite for Microcontrollers.
• Collaborate with AI / ML and hardware engineers on prototyping and deployment.

Conoscenze

C/C++ for embedded systems

Low-power code design

ML model integration

Strumenti

TensorFlow Lite

Arduino

Descrizione del lavoro

Embedded Systems Engineer – TinyML & Edge AI Low-Power ML | Embedded AI | Microcontrollers (Cortex-M)

We’re looking for an Embedded Systems Engineer with TinyML to join our client's growing team. You'll help develop firmware that enables ML inference on microcontrollers like Cortex-M for real-time, low-latency applications.

What you’ll work on

• Design and develop embedded firmware for TinyML applications
• Integrate and optimize ML models using frameworks like TensorFlow Lite for Microcontrollers
• Work on real-time, resource-constrained systems (RTOS, bare-metal, low power)
• Collaborate with AI / ML and hardware engineers on prototyping and deployment
• Support testing, benchmarking, and optimization on Cortex-M platforms

What we’re looking for

• Solid experience in C / C++ for embedded systems
• Familiarity with ARM Cortex-M, STM32, or similar MCUs
• Understanding of low-power, memory-efficient code design
• Exposure to machine learning, neural networks, or signal processing

Bonus

• Hands-on with TinyML, Edge Impulse, TFLite Micro, Arduino ML, etc.

Nice to have

• Python for data processing or prototyping

Why join us?

• Work on cutting-edge ML at the edge
• Join a multidisciplinary team at the intersection of AI and embedded systems
• Flexible working setup: Remote from anywhere in Italy or hybrid from Milan, Turin, or Bologna
• Opportunity to contribute to open-source tools and community initiatives (if you're into it)