Software Engineering Intern

Who you are

• Pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field
• Expected graduation in 2028
• Strong foundation in computer science fundamentals, including data structures and algorithms
• Experience with Python, TypeScript, Dart, Swift, Kotlin, Flutter, React, and native mobile platforms
• Exposure to PostgreSQL, Redis, cloud object storage, Kubernetes, containers, distributed queues, and data processing pipelines
• Strong debugging and problem-solving skills
• Ability to learn new technologies quickly
• Strong written and verbal communication skills
• Excitement about building products that solve real-world problems
• Previous software engineering internship or research experience
• Personal, academic, or open-source projects
• Experience building and shipping software used by others
• Interest in AI/ML or healthcare technology
• A track record of taking initiative and owning projects from start to finish

What the job involves

• We're looking for Software Engineering Interns for Summer 2027 who want to work on real problems, learn from exceptional engineers, and ship software that reaches real users. Intern projects will vary by team, but examples could include:
• AI & Agents: Build an AI-powered workflow that helps healthcare teams automate repetitive administrative work
• Clinical: Develop features that help clinicians spend less time documenting and more time with patients
• Revenue Cycle Management: Build software that helps healthcare practices automate billing workflows and improve their financial operations
• Platform & Infrastructure: Improve the reliability, observability, or scalability of services supporting thousands of healthcare organizations
• Product Engineering: Build end-to-end features across React, APIs, backend services, and databases that are used by healthcare providers every day
• Design, build, test, and ship features across frontend, backend, mobile, or infrastructure
• Build APIs and services that power clinical and administrative workflows
• Develop AI-powered experiences using LLMs and machine learning technologies
• Build intuitive user experiences for clinicians, administrators, and patients
• Work with healthcare data and integrations across complex systems
• Improve the reliability, scalability, and performance of production services
• Instrument your work with metrics, logging, and monitoring
• Participate in code reviews, technical design discussions, and debugging
• Collaborate closely with product, design, data/ML, infrastructure, and clinical teams
• Learn how software moves from an idea → to code → to production → to real-world impact