Ph3What you’ll work on /h3pAs part of a talented engineering team, you will: /pulliDesign and develop containerized AI model runners and execution environments for high‑performance Linux embedded platforms. /liliBuild Python‑based libraries and frameworks to simplify the integration of complex AI inference engines for the Arduino community. /liliOptimize ML model deployment pipelines, ensuring efficient resource utilization on constrained hardware. /liliCollaborate with Software Architects to define technical solutions using the latest software development technologies and infrastructure. /liliEnsure consistency, efficiency and high quality of the Arduino codebase through automated testing coverage and code reviews. /liliContribute creative solutions to enhance Arduino applications and tools within a cross‑functional team. /li /ulh3Minimum Qualifications /h3ulliBachelor’s degree in Engineering, Information Systems, Computer Science, or related field – 4+ years of Software Engineering or related experience. /liliMaster’s degree in Engineering, Information Systems, Computer Science, or related field – 3+ years of Software Engineering or related experience. /liliPhD in Engineering, Information Systems, Computer Science, or related field – 2+ years of Software Engineering or related experience. /lili2+ years of work experience with programming languages such as C, C++, Java, Python, etc. /li /ulh3What you’ll bring /h3ulliBS/MS in Computer Science, Artificial Intelligence, or other technical related fields. /lili5+ years of software development work experience. /liliStrong experience in Python development, specifically for creating production‑grade libraries and tooling. /liliDeep knowledge of containerization (and Docker) within the context of Linux systems. /liliFamiliarity with AI inference engines (TensorFlow Lite, ONNX Runtime, …), local LLM frameworks (Ollama, llama.cpp, …) and model optimization techniques (quantization, pruning, fine tuning, …). /liliHigh motivation and interest in pushing the boundaries of current technologies. /liliDeep understanding of performance optimization and hardware‑software interaction. /li /ulh3Bonus Points /h3ulliExperience in developing C and C++ applications for embedded environments. /liliKnowledge of MLOps practices and model deployment lifecycle. /liliExperience with Kubernetes (k3s/k8s) and cloud‑to‑edge orchestration. /liliExperience in the IoT field or with IoT protocols (MQTT, gRPC). /liliKnowledge of Arduino or similar electronics. /li /ulh3What we offer /h3ulliA challenging career path in a rapidly growing company with modern vision and talented teams. /liliA competitive salary that values people skills and experience. /liliA young and inspiring work environment that encourages diversity and cultural exchange. /liliIndividual growth objectives with a dedicated budget for learning/training. /liliFlexible working hours and working locations; we value work‑life balance. /liliA meaningful work opportunity in a mission‑driven company committed to empower people around the world. /liliPing pong and foosball tournaments. /liliSeasonal celebrations, happy hours and everyday drinks and snacks at the office. /liliSunny rooftop lunch breaks and hamacas for relaxation and concentration. /li /ulh3Equal Opportunity Accessibility /h3pQualcomm 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. /p /p #J-18808-Ljbffr