Edge AI Engineer/Staff Software Engineer - Arduino, Turin, Italy

Company

Qualcomm Europe, Inc. Italy Branch Office

Job Area

Engineering Group > Software Engineering

General Summary

Arduino’s mission is to help people enhance their lives through accessible open‑source electronics and digital technologies. Since 2005, millions of people, from kids and students to engineers and professionals around the world, have been using Arduino to innovate in the fields of music, games and toys, smart homes, farming, autonomous vehicles and many more.

We are looking for a talented Edge AI Engineer to design and evolve the software layers that power Arduino’s high-performance Linux platforms. We believe in hiring collaborative smart people who are excited to push boundaries.

You will join an inclusive team of technology specialists passionate about bringing Machine Learning to the Edge, focusing on the integration of AI models and the development of robust, containerized model pipelines for Linux‑based embedded platforms.

What We Offer

• A challenging career path in a rapidly growing company with modern vision and talented teams.
• A competitive salary that values people skills and experience.
• A young and inspiring work environment that encourages diversity and cultural exchange.
• Individual growth objectives with a dedicated budget for learning/training.
• Flexible working hours and working locations; we value work‑life balance.
• A meaningful work opportunity in a mission‑driven company committed to empower people around the world.

And if you live near one of our offices

• Ping pong and foosball tournaments (sport or gym benefit is also included for everyone!).
• Seasonal celebrations, happy hours and everyday drinks and snacks at the office.
• Sunny rooftop lunch breaks and hamacas for relaxation and concentration.

What You’ll Work On

• 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.
• Guarantee consistency, efficiency and high quality of the Arduino codebase by ensuring automated testing coverage and performing code reviews.
• Deliver value through a strong collaborative approach working in a cross‑functional team, contributing creative solutions to enhance Arduino applications and tools.

Minimum Qualifications

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
• Master’s degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
• PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work 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 optimization techniques (quantization, pruning, fine tuning, …).
• High motivation and interest in pushing the boundaries of current technologies.
• Deep understanding of performance optimization and hardware‑software interaction.

Bonus Points

• Experience in developing C and C++ applications for embedded environments.
• Knowledge of MLOps practices and model deployment lifecycle.
• Experience with Kubernetes (k3s/k8s) and cloud‑to‑edge orchestration.
• Experience in the IoT field or with IoT protocols (MQTT, gRPC).
• Knowledge of Arduino or similar electronics.

If you're excited about this role or about our company, but your experience doesn't align perfectly with the points outlined above, we strongly encourage you to apply anyway. If we feel you don’t fit for this job we may have something else for you!

References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

Qualcomm is an equal‑opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail disability‑ or call Qualcomm's toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.