Senior Software Engineer, Roku

• Proven AI-assisted coding experience
• Regular, hands-on use of AI coding tools (e.g., Claude, Copilot, Cursor, OpenCode) in real development work, with specific examples of AI tools used in production workflows
• Advanced prompt engineering and AI code review skills
• Ability to write effective prompts, iterate on AI output, and critically evaluate AI-generated code for correctness, security, and performance; can identify hallucinations, subtle bugs, and security vulnerabilities
• Agentic coding tool proficiency
• 8+ years of relevant software development experience
• 4+ years C/C++ coding experience
• System-on-a-chip (SoC) development and integration preferred
• Experience developing/debugging on Linux or Android-based embedded platforms
• Good understanding of Linux system and kernel concepts, multithreading primitives, Linux tools, libraries, and open-source development
• Experience with streaming audio/video platforms, graphics, and industry standards
• Hands-on experience with agentic coding harnesses (e.g., Claude Code, Cursor, Copilot, Codex) with specific examples of driving an agent through a non-trivial engineering task, verifying output, and recovering from agent errors
• AI threat awareness Understanding of how AI can be exploited (prompt injection, data leakage, etc.) and ability to code defensively against these risks
• Builder mentality toward AI Actively pushes AI boundaries, adapts quickly to new tools, and views AI as core to their workflow rather than optional
• Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, or other relevant fields
• Ability to excel in a fast-paced engineering environment
• Ability to communicate with candor and effectiveness
• Experience working collaboratively with cross-functional teams

Desirable

• When you work at Roku, you work on a platform that real people use: You can show off the fruits of your labor to your family and friends and see it in your favorite stores' electronics departments
• As a member of the Roku Products Engineering team, you will design and develop embedded software systems that enable us to build world-class products, with Roku "inside" as their OS
• To make this possible, you will work on the Roku OS on new technologies and develop new features while keeping our existing code clean and performant
• Additionally, you will work with product managers to accommodate shifting demands and schedules; collaborate cross-functionally with our QA and other development teams; and build solutions with external hardware component vendors
• We are an AI-first engineering organization
• We actively leverage AI tools and agentic workflows to amplify our velocity, quality, and innovation
• We expect every engineer on this team to view AI as a core part of their daily workflow not an afterthought, and to continuously push the boundaries of what's possible with AI-assisted development
• We are looking for a talented engineer to join our New Products Development Team working on the Roku TV program!
• You will be responsible for core tasks ranging from Roku OS feature development, SoC partner collaboration, third-party API integration, code maintenance, design scalability solutions to help onboard new factories, supporting our QA and Channel certification teams, and everything else involved in our end-to-end product development and release cycles
• You will be expected to use AI coding tools daily to accelerate your work and elevate the quality of your output
• To succeed in this challenging role, the following expertise is strongly preferred
• Roku OS feature development, leveraging AI tools to accelerate coding, debugging, and iteration
• Code maintenance and scalability solution design and development
• Partner with internal QA and development teams
• System-on-a-Chip (SoC) integration and platform bring-up
• Third-party API integration
• Working end-to-end product development and release cycles
• Critically evaluating AI-generated code for correctness, security, and performance in embedded contexts
• Contributing to team AI productivity, sharing effective prompts, workflows, and tooling improvements