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Software Engineering InternUnited Imaging IntelligenceUnited States

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Software Engineering Intern

United Imaging Intelligence
  • US
    United States
  • US
    United States

About

UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) is committed to providing AI solutions for medical devices, imaging, and diagnosis – to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on “empowerment” and “win-win.” UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-party companies to win. UII America, Inc. is building a world-class research and development team in Boston, MA.
Remember to check your CV before applying Also, ensure you read through all the requirements related to this role.
We are immediate openings for interns across
three tracks . You will apply to one track, but you'll work on a shared platform alongside engineers in the other two so you'll see how a real production health-AI stack fits together end to end. Responsibilities: Full Stack Engineering Intern: You'll work on the backend services and APIs that power our web, mobile, and AI-driven clinical application DevOps / Platform Engineering Intern (On-Prem Local Cluster): You'll help us build and operate the
on-premises local Kubernetes cluster
that serves our clinical users at scale — bare-metal nodes, our own networking, our own storage, no cloud crutches Mobile Application Development Intern (React Native): You'll build cross-platform iOS and Android applications in
React Native
that bring our AI and clinical tools to patients, caregivers, and clinicians. xywuqvp Qualifications: Currently pursuing a MS in Computer Science, Information Science, Computer Engineering, Electrical Engineering, or other related fields Strong programming skills in Python, Node.js, Solid grasp of REST API design, HTTP, and authentication patterns (OAuth, JWT) Working knowledge of at least one no sql database like MongoDB or Neo4j is a plus Familiarity with message queues or task systems (RabbitMQ, Redis, Celery, Kafka) is a plus Hands-on Linux experience and comfort on the command line Familiarity with Docker and at least foundational Kubernetes concepts (pods, deployments, services) Exposure to infrastructure-as-code (Ansible, Terraform, Helm) through coursework, projects, or prior internships Basic networking literacy (DNS, TLS, load balancers, ingress) Bonus: experience with monitoring/observability stacks (Prometheus, Grafana, Loki, ELK) Solid working knowledge of
React Native
and modern JavaScript / TypeScript Comfortable with React patterns (hooks, context, state management with Redux / Zustand / React Query) Experience consuming REST APIs and handling async networking Familiarity with the iOS and Android build/release toolchains (Xcode, Android Studio, Fastlane, EAS, App Store / Play Store submission) Bonus: experience writing native modules (Swift / Kotlin / Objective-C), on-device ML (TensorFlow Lite, ONNX Runtime), WebSockets/gRPC, or healthcare/accessibility-focused apps
  • United States

Languages

  • English
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