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

What you’ll work on

As part of a talented engineering team, you will:

• 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 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.

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.
• Ping pong and foosball tournaments.
• Seasonal celebrations, happy hours and everyday drinks and snacks at the office.
• Sunny rooftop lunch breaks and hamacas for relaxation and concentration.

Equal Opportunity & Accessibility

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application or hiring process, contact or call Qualcomm’s toll‑free number. Qualcomm will provide reasonable accommodations to support individuals with disabilities.