Nanox (NASDAQ: NNOX) is a dynamic and growing organization, focused on driving the world’s transition to preventive health care by bringing a full solution of affordable medical imaging technologies based on advanced AI and a proprietary digital source. Nanox’s vision encompasses expanding the reach of Nanox technology both within and beyond hospital settings, providing a seamless end-to-end solution from scan to diagnosis, leveraging AI for more accurate diagnostics and maintaining a clinically-driven approach.
Join Us and Make an Impact!
Being a Nanoxer means becoming part of a pioneering team that’s transforming the future of healthcare. You’ll thrive in an innovative environment, pushing the boundaries of technology and AI to drive the transition to preventive healthcare. Experience growth in a fast-paced, dynamic setting, working alongside passionate professionals who value your ideas. Our innovative environment encourages creativity and collaboration, offering you the chance to grow professionally while making a meaningful impact on global health. Shape your career and the future of medical imaging with us.
We are looking for a motivated and curious Software Engineer to join our R&D team. This position is ideal for a developer with several years of professional experience who is looking to take the next step, broaden their technical skills, and gain hands-on experience working on complex multidisciplinary systems that combine software, hardware, cloud technologies, and AI.
We are looking for someone who is eager to learn, enjoys solving challenging technical problems, and is not afraid to explore unfamiliar technologies and domains. The ideal candidate has strong software-development fundamentals, a hands-on mindset, and the motivation to grow into a developer who can understand and contribute to the system as a whole.
Responsibilities
Design, develop, test, and maintain application and backend components using .NET, JavaScript, and Python.
Participate in the development of microservices and distributed applications.
Work with Linux-based systems, including application deployment, debugging, logs, scripting, and troubleshooting.
Work with cloud services, containers, databases, and messaging technologies.
Participate in the development and integration of LLM-based features and AI agents.
Investigate and troubleshoot issues across software, networking, cloud, and hardware interfaces.
Participate in design discussions, code reviews, testing, integration, and production support.
Take increasing ownership of features and components as your technical knowledge and experience grow.
Continuously learn new technologies, tools, and areas of the system.
Requirements
3+ years of professional software development experience.
Good programming skills and understanding of object-oriented programming and software development principles.
Professional experience developing applications using C# and .NET.
Basic experience working with Linux environments and a willingness to deepen your Linux and system-level knowledge.
Understanding of REST APIs and client/server architectures.
Experience working with SQL and/or NoSQL databases.
Familiarity with Git and modern software-development workflows.
Strong analytical and problem-solving skills.
Ability and willingness to investigate problems independently while knowing when to ask for help.
Good communication skills and ability to work effectively as part of a multidisciplinary team.
B.Sc. in Computer Science, Software Engineering, Electrical Engineering, or a related field (or equivalent experience).
Preferred Qualifications:
Experience in medical devices, healthcare software, or another multidisciplinary/regulated environment.
Experience with microservices or distributed systems.
Familiarity with Docker, Kubernetes, or containerized applications.
Experience with cloud platforms such as Azure, AWS, or GCP.
Familiarity with messaging/event-driven systems such as RabbitMQ, Kafka, Azure Service Bus, or equivalent.
Experience or strong interest in Large Language Models (LLMs), AI agents, RAG, or other Generative AI technologies.
Familiarity with networking, communication protocols, device control, or hardware-software integration.
Skills
