What you’ll work onAs part of a talented engineering team, you will:

Si candidi rapidamente per massimizzare le sue possibilità di essere considerato/a per un colloquio. Legga la descrizione completa del lavoro qui sotto.
- Design and develop containerized AI model runners and execution environments for high‑performance Linux embedded platforms.
- Build Python‑based libraries and frameworks to simplify the integration of complex AI inference engines for the Arduino community.
- Optimize ML model deployment pipelines, ensuring efficient resource utilization on constrained hardware.
- Collaborate with Software Architects to define technical solutions using the latest software development technologies and infrastructure.
- Ensure consistency, efficiency and high quality of the Arduino codebase through automated testing coverage and code reviews.
- Contribute creative solutions to enhance Arduino applications and tools within a cross‑functional team.

Minimum Qualifications
- Bachelor’s degree in Engineering, Information Systems, Computer Science,



or related field – 4+ years of Software Engineering or related experience.
- Master’s degree in Engineering, Information Systems, Computer Science, or related field – 3+ years of Software Engineering or related experience.
- PhD in Engineering, Information Systems, Computer Science, or related field – 2+ years of Software Engineering or related experience.
- 2+ years of work experience with programming languages such as C, C++, Java, Python, etc.

What you’ll bring
- BS/MS in Computer Science, Artificial Intelligence, or other technical related fields.
- 5+ years of software development work experience.
- Strong experience in Python development, specifically for creating production‑grade libraries and tooling.
- Deep knowledge of containerization (and Docker) within the context of Linux systems.
- Familiarity with AI inference engines (TensorFlow Lite, ONNX Runtime, …), local LLM frameworks (Ollama, llama.cpp, …) and model op

📌 Edge AI Engineer/Staff Software Engineer (Torino)
🏢 Qualcomm
📍 Torino