Edge ai engineer/staff software engineer - arduino, turin, italy

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7fszsy

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. Ph D 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 (Tensor Flow 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.

Premio 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 Io T field or with Io T protocols (MQTT, g RPC). 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 disability-accomodations@ or call Qualcomm's toll‐free number. Qualcomm will provide reasonable accommodations to support individuals with disabilities.

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7fszsy