Lead Software Engineer | AI & Radar Technology for Patient Monitoring (Oslo)

Lead Software Engineer | AI & Radar Technology for Patient Monitoring (Oslo)

Direct message the job poster from RafX Technologies

Join RafX Technologies and take the technical lead in developing breakthrough radar- and AI-powered monitoring technology that transforms psychiatric and neurological care. This is a unique opportunity to shape core architecture, build a multidisciplinary team, and have real impact in a fast-moving health-tech startup.

RafX Technologies is on a mission to transform care for psychiatric and neurological inpatients. Our AI- and radar-powered system, RafX SafeNight , uses concealed radar sensors to track patients 24 / 7, detecting health deterioration, agitation, and location — a true breakthrough in psychiatry, where patient monitoring today relies on nursing observations.

We’re looking for a highly experienced and independent Lead Software Engineer to drive both the architectural vision and hands‑on development of our platform. You should be comfortable taking technical ownership, solving complex problems, and driving development forward with minimal supervision.

You will build and lead a multidisciplinary team spanning full-stack development, signal processing, data analysis, UX / UI, and machine learning. This is a rare opportunity to join in the early startup phase and directly shape our technology roadmap.

Responsibilities

• Design and implement robust server‑based software solutions for hospital environments, ensuring high reliability, data integrity, and security.
• Lead the development of software connecting multiple radar sensors across hospital rooms.
• Build and maintain local server infrastructure and databases handling continuous sensor data streams.
• Oversee development across embedded systems, backend services, and local network interfaces.
• Collaborate closely with the hardware supplier to ensure robust data flow between radar devices, controllers, and server infrastructure.
• Develop algorithms for signal processing, feature extraction, and data analysis.
• Apply and integrate machine learning for real‑time interpretation of physiological and behavioral signals.
• Mentor developers and actively contribute to building the engineering team.
• Work closely with hardware, data science, and clinical partners.
• Ensure compliance with medical device software standards.

Core Background

Technical Expertise

Preferred Experience

Personal Qualities

Benefits

Send your CV or get in touch for an informal conversation — we’d love to talk. Contact our CEO, Magdalena Gjefle , at She’s also available to answer questions about the position at +47 416 85 018.

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