Software Engineer Intern, Embedded Systems

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. Build the future of streaming with real ownership Join Roku’s 12-week Graduate Internship and accelerate your growth by solving complex engineering problems that power the world’s leading TV streaming platform. You’ll ship code, learn from senior engineers, and see your work make a visible impact for customers globally. Why this program stands out High-impact work, not side projects. You’ll be matched to a scoped, production-grade project aligned to real business outcomes. Clear success metrics. Define and track KPIs with your team, so progress and value are obvious from day one. Senior mentorship. A dedicated senior engineer supervises your journey and gives you direct, actionable feedback. Velocity + autonomy. Expect rapid iteration, ownership of decisions, and a culture that favors building over bureaucracy. Tech breadth + depth. Exposure to Core OS , Cloud Infrastructure , Advertising Technology , Platform Portability , Advanced Development , and ML —with opportunities to go deep where you’re strongest. Global collaboration. Partner with experts across the US and internationally (including Cambridge) on cross-functional initiatives. What you’ll be doing Own a scoped project end-to-end: design, implement, test, and ship. Define, agree, and track KPIs that measure technical and business impact. Collaborate effectively across engineering, product, and partner teams to deliver outcomes. Share learnings broadly—write, demo, and document insights to level-up others. Leverage modern tech including innovative AI applications where relevant to your project. We're excited if you have Pursuing a MS preferred in Computer Science, Computer Engineering, Software Engineering, or a related technical field Previous development internship experience Strong fundamentals in data structures, algorithms, OOD , and systems design. Practical experience in C/C++ , Python, Bash, developing/debugging on Linux based embedded systems Understanding of Linux kernel concepts , multi-threading primitives, Linux tools, libraries and open-source development Awareness of or experience with generative AI tools (e.g., GitHub Copilot, OpenAI API) for enhancing development productivity. Familiarity with one or more machine learning frameworks like TensorFlow , Tensorflow Lite, TensorflowMicro , PyTorch , or scikit-learn through coursework or personal projects. Exposure to Cloud (AWS/Azure/GCP), Machine Learning , SDK/API design, and integration testing. Comfort with Agile and collaborative tools ( JIRA , Confluence , GitHub ). A builder’s mindset— creative , resilient , and proactive with a bias to ship. Demonstrated “real world” impact: shipped projects, prior internships, notable contributions (e.g., opensource, publications). Program details Duration: 12 weeks, Summer 2026 Locations: Boston, San Jose, New York, Austin (on-site expectations vary by team) Project matching: Based on your skills, interests, and team needs—clearly defined, challenging to complete, and easy to start. Career visibility: Understand what full-time life at Roku looks like through mentorship, collaboration, and showc ... (truncated, view full listing at source)