Software Engineering Intern

About Us

The first baby boomers turn 80 this year. Over the next decade, the population most likely to need daily care will grow faster than the buildings, the staff, or the systems available to serve it.

Sage is the care intelligence platform for senior living and skilled nursing. We connect the hardware senior care runs on, including nurse call, fall management, and wander management, with software caregivers actually use. That consistent use is what produces reliable data, and reliable data is what gives operators a true picture of how their communities are running.

Sage is a collaborative team of ambitious, multi-disciplinary entrepreneurs on a mission to reinvent senior care with a modern operating system for caregivers. Millions of people depend on this care getting better, and we move with the urgency that deserves.

About this Role

As a Software Engineering Intern on the Edge team, you will work at the boundary between physical systems installed in senior living communities and the cloud infrastructure that powers the Sage platform. Our edge fleet includes thousands of deployed devices: gateways, sensors, pendants and more that must run reliably in buildings we don't control, on networks we don't manage, for residents who depend on them in emergencies.

This internship runs Monday, June 7, 2027 to Friday, August 13, 2027. You can also visit our website for more information about our internship program.

You will ship production code during your internship. You'll be paired with a senior engineer as your mentor, embed on the team, and present your work to the engineering organization at the end of the summer. Projects may include such work as fleet diagnostic tooling, device telemetry pipelines, or automation that replaces manual operational work.

What You'll Do

• Design, build, and ship a summer project that solves a real problem for the Edge team, with guidance from your mentor
• Write backend services in Java that interact with a fleet of thousands of on-premise devices
• Work with Linux-based edge devices: flashing, configuring, debugging, and learning how software behaves when the network is unreliable
• Build tooling that improves fleet observability and helps the team remotely diagnose hardware and connectivity issues
• Participate in code reviews and design discussions alongside the full engineering team
• Learn how a production IoT system spanning LoRaWAN, BLE, and cloud services actually operates at scale