[Hiring] Software Development Engineer @RNT Health Insights

Role Description

We’re seeking both Full-Time Software Development Engineers and Interns. You will develop and maintain the core components of our real-time clinical software. You will:

• Develop and refine responsive front-end applications using React or Vue.
• Implement secure, high-throughput RESTful APIs in Python.
• Build resilient data pipelines that uphold low-latency processing requirements.
• Integrate our solution with hospital information systems.
• Containerize and deploy our software packages on Linux-based clinical workstations.
• Support system maintenance.
• Work closely with clinicians, regulatory teams, and fellow engineers to build and deploy a robust, compliant platform that drives earlier detection of upper gastrointestinal cancers.

Qualifications

• Proficiency with React.js, Vue.js, or equivalent.
• Strong Python backend skills (Flask or FastAPI).
• C++ (11/14/17) development experience with Qt Widgets or QML.
• Knowledge of OpenCV, OpenGL, or GStreamer for media rendering in Qt/C++.
• Familiarity with RESTful API design and request-response lifecycles.

Requirements

• Build and maintain responsive UIs using React.js, Vue.js, or similar frameworks.
• Implement data visualizations (tables, overlays, timelines) compliant with medical-device regulations.
• Integrate video playback components, interactive forms, and dashboards.
• Ensure clinical usability, accessibility, and responsiveness of all components.
• Design and implement secure, high-throughput RESTful APIs (Flask or FastAPI).
• Manage video session metadata, logs, and user-action services.
• Handle session-based data persistence using MongoDB, PostgreSQL, or similar.
• Integrate backend services with frontend UI and external device inputs.
• Implement real-time communication channels (e.g., WebSockets) as needed.
• Develop cross-platform Qt applications, implement multi-threaded video pipelines and visualization overlays using OpenGL and GStreamer.
• Interface with external hardware via system-level APIs and Qt’s device I/O libraries.
• Design and manage inter-thread communication using Qt signals/slots and event-driven architecture.
• Bridge native C++ modules with Python or web-based components as needed.
• Containerize applications with Docker and manage deployments on Linux clinical workstations.
• Utilize Nginx for optimal load balancing and application delivery.
• Deploy and maintain cloud environments on AWS/Azure (EC2, Elastic Beanstalk, App Services, Azure Deployment Environments).
• Develop and maintain CI/CD pipelines.
• Conduct comprehensive testing across all system units to ensure functionality and reliability.
• Maintain rigorous standards for code and process documentation.
• Collaborate with regulatory and QA teams to uphold medical-device compliance.

Benefits

• We’ll match or exceed industry-standards in compensation and provide meaningful ESOPs to ensure you share in our success.
• Ship code that directly improves early cancer detection and saves lives.
• Work alongside leading clinicians and AI researchers in a fast-paced startup.
• Gain hands-on experience with cutting-edge AI and medical-device technology.
• Flexible work hours, and a supportive, mission-driven culture.

Interview Process

• Introduction call
• Technical interview
• Discussion and Offer