Software Engineer Intern, AI-Powered Picture Quality Tools

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 Team The Roku TV Technology Engineering team drives innovation and develops proof-of-concept designs for next-generation TV features and reference architectures. Our focus areas include core TV technologies such as Picture Quality, Display, Audio, and System Architecture, with the goal of creating breakthrough solutions and bringing them to production. About the Role We are offering a 12-week Software Engineering Internship on Roku TV Tech team that builds internal automation tools for display calibration, color accuracy measurement, and firmware quality validation on real consumer TV products. As an intern, you will own a tool from start to finish — designing and prototyping an AI-driven feature that makes our engineers' daily calibration and testing work smarter and more efficient. This is not a "shadow and observe" internship. You will write real code, work with real measurement data, and deliver a working prototype that the team can evaluate for production integration. You will be paired with a mentor who will guide you through the codebase, the domain knowledge, and the engineering practices — but the creative direction of your project is yours to shape. What You Will Be Doing You will spend the majority of your internship focused on one AI-driven project. Example directions include: MCP-Based Tool Integration — Design and implement a Model Context Protocol (MCP) server that exposes the existing calibration tool's capabilities as structured tools and resources, enabling any MCP-compatible AI client to orchestrate picture quality workflows through natural language. Natural Language Test Builder — Prototype an LLM-powered interface where engineers describe a test procedure in plain English and the system generates an executable workflow definition using structured output, function calling, or prompt chaining. Calibration Report Summarizer with RAG — Build an AI tool that uses Retrieval-Augmented Generation (RAG) to ingest historical calibration reports, measurement standards, and device specifications, then generates human-readable summaries with pass/fail verdicts, trend analysis, and actionable recommendations grounded in real data. Your Own Idea — If you have a creative concept that applies AI application-layer technologies to display testing, calibration data, or engineering workflow automation, we want to hear it. Along the Way Get familiar with the existing automation codebase written primarily in Python, with supporting REST API layers and native C++ components. Work with real measurement datasets through Picture Quality algorithms. Collaborate with PQ engineers to understand their workflow pain points and validate your prototype against real use cases. Present your project and findings to the team at the end of the internship. We Are Excited If You Are Currently pursuing a Master/PhD in Computer Science, Software Engineering, Data Science, Electrical Engineering, or a related field. Having hands-on experience (coursework or personal projects) in one or more scripting-based languages: Python, JavaScript/TypeScript, Go, or Ruby. Familiar with AI application-layer concepts and technologies — not ... (truncated, view full listing at source)