Software Engineer Intern, Embedded Systems at Roku in Austin, TX

Summary: Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, aiming to power every television in the world. The Software Engineer Intern will work on a scoped project end-to-end, collaborating across teams to deliver impactful outcomes while gaining valuable experience in embedded systems and modern technologies. Responsibilities: - 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 Required Qualifications: - Pursuing a MS 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) Required Skills: C/C++, Python, Linux Important Skills: Machine Learning, Cloud (AWS/Azure/GCP), Data Structures, Algorithms Nice-to-Have Skills: Agile, Creative, Resilient, Proactive, Teamwork Benefits: Global access to mental health and financial wellness support and resources, Healthcare (medical, dental, and vision), Life, Accident, Disability, Commuter, Retirement options (401(k)/pension), Time off work for vacation and other personal reasons