Embedded System Engineer

XpertDirect; Palermo; Ibrido; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A technology company is seeking an Embedded Systems Engineer specialized in TinyML to develop firmware for microcontrollers. The role involves designing embedded systems, optimizing ML models, and collaborating with multidisciplinary teams. Ideal candidates will have experience in C/C++, ARM Cortex-M, and an understanding of machine learning concepts. Opportunities for remote work are available across Italy.

Servizi

Flexible working setup

Opportunity to contribute to open-source initiatives

Competenze

• Solid experience in C / C++ development.
• Familiarity with ARM Cortex-M or similar microcontrollers.
• Understanding of low-power, memory-efficient design.

Mansioni

• Design and develop embedded firmware for TinyML applications.
• Integrate and optimize ML models for microcontrollers.
• Collaborate with AI and hardware engineers.

Conoscenze

C / C++ for embedded systems

ARM Cortex-M

Low-power code design

Machine learning

Python

Strumenti

TensorFlow Lite for Microcontrollers

TinyML

Edge Impulse

Arduino ML

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

1. Design and develop embedded firmware for TinyML applications
2. Integrate and optimize ML models using frameworks like TensorFlow Lite for Microcontrollers
3. Work on real-time, resource-constrained systems (RTOS, bare-metal, low power)
4. Collaborate with AI / ML and hardware engineers on prototyping and deployment
5. 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 experience 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)