Software Engineer, Early Careers focused on AI and UI

Teamwork makes the stream work.   Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.   About the role   Roku is a streaming company. We are not an AI-first company and we are not going to tell you we are.

What we are doing is building real agentic capability into the platform behind 100M+ streaming households, and we need engineers who can make agents work on top of systems that already carry serious load.   This is a systems engineering job first. The agent work sits on telemetry, distributed services and physical devices, and it is the systems half that makes it hard. If you have built something agentic and you also know why a schema change matters when it ships to millions of devices, this is the role for you!

  About the team   Join the Roku OS Platform UI team — the engineers behind Roku's home screen , Roku Channel and other content discovery and browse experiences that greet every Roku user the moment they turn on their TV. Our work ships to hundreds of millions of devices worldwide.   We move fast and hold a high bar. Engineers on this team own features end-to-end — from the OS platform layer through Application and UI to cloud integration — and collaborate closely with product, design, and cross-functional engineering partners to bring ambitious ideas to production at scale.

  What you will work on   Multi-step agents that do real work in production. Detecting regressions across services, bisecting the commits that caused them, proposing fixes, generating and reviewing co de that other engineers review and merge.   Internal tooling that your colleagues actually adopt. Skills, harnesses and services that make the team faster, rather than demos that get admired once.

  Real-time telemetry and event processing at streaming scale, under the CPU and memory constraints that come with shipping to devices in people’s homes.   Agent problems that only exist when there is hardware in the loop: physical feedback, device fleets, and signals you cannot simulate on a laptop.   What we are looking for   Up to 4/6 y ears of professional engineering experience since you finished studying.

  Strong systems or infrastructure fundamentals. Real-time data, telemetry, distributed systems, platforms, or device work. This is the part we will not compromise on.   Something agentic that you have built and shipped, and that other people use. A work project or a serious personal one, and multi-step rather than a wrapper around a chat window. Come ready to talk about what it does and what broke.

  A clear account of how you stay accountable for code you did not type. Design-first, review discipline, your own gates. We do not mind which, as long as it is yours, and you can explain it.   A view on where agents are not good enough yet and why   The existing right to work in the US. We are not able to sponsor visas for this role.   How we interview   Working fluently with AI tools is an explicit expectation for this role, so we assess it directly rather than asking you to describe it.

The loop includes a hands-on engineering exercise on an unfamiliar codebase, using the tools you would normally reach for. We are watching how y