Senior Software Engineer, Embedded UI

📍 Job Overview

Job Title: Senior Software Engineer, Embedded UI

Company: Roku

Location: Cambridge, United Kingdom

Job Type: Full-time

Category: Software Engineering / Embedded Systems

Date Posted: 2026-09-05T12:06:37

Experience Level: Senior (5-10 years)

Remote Status: Hybrid

🚀 Role Summary

• Design, develop, and deliver engaging platform features for the Roku streaming ecosystem, focusing on embedded UI elements and user experiences.

• Leverage AI, machine learning, and LLM technologies to innovate and enhance user-facing features, including screensavers, wallpapers, and AI-driven content initiatives.

• Collaborate closely with cross-functional teams, including UI/UX design, product management, and backend engineering, to bring innovative ideas from concept to production-grade deployment.

• Apply a proactive, ownership-driven approach within a startup-minded environment to rapidly prototype and iterate on new solutions that impact millions of users worldwide.

📝 Enhancement Note: This role is positioned as a Senior Software Engineer within Roku's OS UI/SDK team, emphasizing direct contribution to customer-facing features that improve the user experience on the Roku platform. The focus on "embedded UI" and "AI/ML" integration indicates a blend of system-level development and cutting-edge technology application within a consumer electronics context. The hybrid work model with 4 days in-office suggests a strong emphasis on collaborative development and team synergy.

📈 Primary Responsibilities

• Design and develop customer-focused features for the Roku platform, including but not limited to screensavers, static and dynamic wallpapers, trivia, featured content experiences, and AI-driven content initiatives.

• Create rapid proof-of-concept prototypes to validate innovative ideas, adopting a startup mindset for quick iteration and efficient delivery of solutions.

• Collaborate effectively with cross-functional partners, including UI/UX design, product management, and backend engineering teams, to translate conceptual ideas into impactful, user-centric solutions.

• Adapt and productionize proof-of-concept prototypes into scalable, high-quality, and commercially viable implementations for millions of Roku users.

• Integrate and leverage AI, machine learning, and large language model (LLM) technologies to develop novel platform capabilities and enhance user experiences.

• Investigate, diagnose, and resolve complex technical issues to ensure the sustained quality and commercial viability of developed solutions.

• Contribute to API design decisions, thoroughly considering trade-offs, implications, and best practices for scalability and maintainability.

• Work across various domains including cloud development, content management systems, and embedded UI development to deliver comprehensive end-to-end feature solutions.

📝 Enhancement Note: The responsibilities highlight a dual focus on feature development and the engineering processes behind it. The emphasis on "proof-of-concept prototypes" and "production-grade deployment" indicates a need for engineers who can both ideate and execute, bridging the gap between innovation and reliable delivery. The mention of "AI, machine learning, and LLM technologies" is a critical differentiator, suggesting that candidates with practical experience in applying these tools to user-facing features will be highly valued.

🎓 Skills & Qualifications

Education: Bachelor's or Master's degree in Computer Science or a related technical field.

Experience: Extensive experience in a software engineering environment, with a demonstrated track record of delivering complex features, particularly within embedded systems or consumer electronics.

Required Skills:

• Demonstrated project work and practical application of AI/ML and Large Language Model (LLM) technologies.

• Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, or BrightScript.

• Experience working within an embedded software or firmware development environment.

• Proven experience in productionizing solutions, encompassing aspects of content management, UI development, cloud development, and cloud backend integration.

• Solid understanding of core operating system concepts, including memory management and multi-threading.

• Experience in API design, with a clear understanding of design considerations and associated trade-offs.

• Strong communication and interpersonal skills, enabling effective collaboration across diverse engineering and product teams. Preferred Skills:

• Consumer electronics experience, particularly in media, content, or advertising product development.

• Fluency across the agentic engineering toolchain (e.g., Claude Code, Cursor, MCP servers, custom skills, agent frameworks).

• Ability to drive AI agents, verify their output, and quickly ramp up on unfamiliar codebases with AI assistance.

📝 Enhancement Note: The qualifications emphasize a blend of traditional embedded software engineering skills and modern AI/ML application. The explicit mention of "agentic engineering toolchain" suggests Roku is actively integrating AI into its development workflows, and candidates with hands-on experience in this area will have a significant advantage. The preference for consumer electronics and media/content experience signals a need for domain-specific understanding.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase projects demonstrating the successful design and development of embedded UI features, highlighting user experience improvements and technical complexity.

• Include case studies detailing the application of AI/ML or LLM technologies in feature development, emphasizing problem-solving and innovative solutions.

• Present evidence of productionizing code, illustrating the transition from prototype to scalable, commercially viable software.

• Provide examples of cross-functional collaboration, showcasing contributions to API design, system integration, and end-to-end feature delivery. Process Documentation:

• Documented workflows for rapid prototyping and iterative development, illustrating an agile approach to feature creation.

• Examples of technical issue diagnosis and resolution processes, demonstrating systematic problem-solving in an embedded context.

• Descriptions of how AI tools or agents were integrated into development workflows to enhance efficiency, code quality, or development speed.

• Case studies detailing the integration of different system components (cloud, content management, UI) to deliver cohesive user experiences.

📝 Enhancement Note: For a Senior Software Engineer role, especially one involving AI integration, a portfolio is crucial. It should not only showcase completed projects but also the candidate's process, problem-solving approach, and ability to leverage new technologies like AI agents for practical development outcomes. Demonstrating the full lifecycle from prototyping to production is key.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior Software Engineers in the Cambridge, United Kingdom area, with 5-10 years of experience, the estimated annual salary range is £70,000 - £100,000. This range accounts for the specific technical expertise required, including embedded systems, UI development, and AI/ML integration, as well as the company's market position.

Benefits:

• Global access to mental health and financial wellness support and resources.

• Comprehensive healthcare coverage (medical, dental, and vision).

• Life insurance, accident insurance, and disability insurance.

• Commuter benefits to support daily travel.

• Retirement savings options (e.g., pension schemes).

• Generous paid time off in accordance with local leave policies.

Working Hours: Standard full-time working hours are expected, with a hybrid model that generally includes 4 days in the office (Monday-Thursday) and 1 flexible remote day (Friday), unless specific role requirements necessitate full-time office attendance.

📝 Enhancement Note: The salary estimate is based on typical compensation for senior engineering roles in the UK technology sector, adjusted for the specific skills in demand (embedded systems, AI/ML). The benefits listed are directly extracted from the job description, highlighting Roku's commitment to employee well-being and financial security. The hybrid work arrangement details are also explicitly stated.

🎯 Team & Company Context

🏢 Company Culture

Industry: Streaming Media & Consumer Electronics. Roku is a leader in the TV streaming platform market, significantly impacting how content is delivered and consumed globally. This industry context implies a fast-paced, innovation-driven environment with a focus on user experience and scalability.

Company Size: Roku is a large, publicly traded company with a significant global presence, indicating established processes alongside opportunities for individual impact. This size allows for substantial resources and reach while maintaining a focus on individual contribution.

Founded: Founded in 2002, Roku has a long history in pioneering streaming technology, suggesting a culture built on innovation, resilience, and deep technical expertise in the evolving media landscape.

Team Structure: The OS UI/SDK team likely operates with a mix of individual contributors and team leads, fostering a collaborative environment. Engineers are expected to be "owners" of their features, working closely with UI/UX design, product management, and backend engineering. The structure emphasizes cross-functional collaboration to bring features from concept to reality.

Methodology: Roku emphasizes a "startup-minded environment" for rapid prototyping and iteration, combined with a "deeply collaborative environment" for production-grade deployment. Their approach is pragmatic, focusing on "inventing and re-inventing the world of streaming media" through "action" and delivering solutions to customers. AI and smart tools are integrated to assist developers, but human direction, judgment, and accountability are paramount.

Company Website: https://www.weareroku.com/

📝 Enhancement Note: The description highlights Roku's unique culture of "pragmatic dreamers" and "problem-solvers" who act boldly and move fast. The emphasis on individual ownership within a collaborative framework is key. The integration of AI into the development process is presented not as a replacement for human ingenuity but as a tool to augment it, suggesting a forward-thinking and adaptive engineering culture.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Software Engineer role, indicating a position of significant technical responsibility and influence. Senior engineers are expected to lead complex projects, mentor junior engineers, and contribute to architectural decisions. In the context of embedded UI and AI, this seniority implies expertise in system design, feature implementation, and the application of advanced technologies.

Reporting Structure: The role likely reports to an Engineering Manager or Lead within the OS UI/SDK team. Collaboration will be extensive with peers in UI/UX design, product management, and backend engineering, forming a matrixed project-based reporting structure for feature development.

Operations Impact: The role has a direct impact on millions of Roku users worldwide by shaping their interaction with the platform through user-facing features. Success in this role contributes to Roku's mission of powering every television and enhancing the overall user experience, which is critical for customer retention, platform growth, and advertiser engagement.

Growth Opportunities:

• Technical Specialization: Deepen expertise in embedded systems development, UI/UX for streaming platforms, and advanced AI/ML integration within consumer electronics.

• Leadership Development: Opportunities to mentor junior engineers, lead feature initiatives, and contribute to technical strategy and architectural discussions.

• Cross-Functional Exposure: Gain exposure to product management, UI/UX design, and cloud backend systems, fostering a holistic understanding of product development.

• Innovation Pathways: Contribute to R&D initiatives, explore new AI applications, and influence the future roadmap of Roku's platform features.

📝 Enhancement Note: As a senior role, growth here is expected to be both vertical (leadership, increased scope) and horizontal (broader technical expertise, cross-functional understanding). The emphasis on AI and embedded UI suggests potential for specialization in high-demand, future-oriented areas of software engineering.

🌐 Work Environment

Office Type: Roku fosters a collaborative office environment, with teams generally working in the office Monday through Thursday. Fridays offer flexibility for remote work. This hybrid model aims to balance in-person teamwork with individual flexibility.

Office Location(s): The role is based in Cambridge, United Kingdom. This location likely offers access to a vibrant tech community and resources.

Workspace Context:

• The office environment is designed to be collaborative, encouraging interaction and team synergy, particularly during the core in-office days.

• Engineers will have access to the necessary tools and technology for embedded development, UI design, and AI integration, supporting a productive workflow.

• Frequent interaction with cross-functional teams (UI/UX, Product Management, Backend) is expected, fostering a dynamic and communicative work atmosphere.

Work Schedule: The hybrid work schedule (Mon-Thu in-office, Fri flexible) allows for structured team collaboration while accommodating personal needs. This arrangement supports continuous development and iteration on complex embedded UI features.

📝 Enhancement Note: The hybrid model is clearly defined, with a strong emphasis on in-office collaboration for a significant portion of the week. This suggests that while flexibility is offered, in-person teamwork is highly valued for this role.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and conduct an initial call to assess basic qualifications and cultural fit.

• Technical Interviews: Expect multiple rounds of technical interviews focusing on embedded systems concepts, C/C++ or relevant scripting language proficiency, OS fundamentals (memory management, multi-threading), API design, and problem-solving.

• AI/ML/LLM Focus: Specific questions or coding challenges may assess your experience and approach to using AI/ML/LLM technologies in software development.

• System Design/Architecture: A session might involve designing a feature or system component, assessing your ability to think critically about scalability, trade-offs, and production readiness.

• Cross-functional Collaboration: Interviews may include discussions on how you've worked with UI/UX, product, and other engineering teams.

• Behavioral & Cultural Fit: Questions will assess your ownership mentality, adaptability, collaboration style, and alignment with Roku's culture.

Portfolio Review Tips:

• Showcase AI/ML Impact: Clearly articulate how AI/ML/LLM technologies were used in your projects and the tangible impact they had (e.g., improved user engagement, efficiency gains).

• Highlight Embedded UI Expertise: Present projects that demonstrate your skills in developing user interfaces for embedded systems, focusing on performance, resource constraints, and user experience.

• Detail Productionization: For each relevant project, explain the process of taking a prototype or concept to a production-ready state, including challenges overcome.

• Quantify Achievements: Wherever possible, use metrics to demonstrate the success of your work (e.g., performance improvements, user adoption rates, issue reduction).

• Prepare for Walkthroughs: Be ready to walk through specific code examples or architectural diagrams from your portfolio, explaining your design choices and rationale.

Challenge Preparation:

• Coding Challenges: Practice coding problems, especially those involving data structures, algorithms, and potentially C/C++ or Python, relevant to embedded systems and UI logic.

• System Design Scenarios: Prepare to discuss how you would design a scalable and performant feature for a streaming platform, considering both embedded and cloud aspects.

• AI Integration Scenarios: Be ready to discuss how you would approach integrating AI features into an embedded UI, considering latency, resource constraints, and user experience.

• Behavioral Questions: Prepare STAR method (Situation, Task, Action, Result) responses for common behavioral questions related to teamwork, problem-solving, and leadership.

📝 Enhancement Note: The interview process is likely rigorous, covering technical depth in embedded systems and AI/ML, alongside system design and behavioral aspects. A strong portfolio that directly addresses the AI/ML and embedded UI requirements will be critical for success.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: JavaScript, TypeScript, React Native, Python, BrightScript (Roku's proprietary language). C/C++ for core embedded development.

• Development Environments: Embedded IDEs, cross-compilers, debuggers specific to embedded systems.

• AI/ML Tools: Frameworks and libraries for AI/ML development (e.g., TensorFlow Lite, PyTorch Mobile), agentic engineering toolchains (e.g., Claude Code, Cursor, MCP servers).

Analytics & Reporting:

• Internal Roku analytics platforms for tracking feature usage, performance metrics, and user engagement.

• Tools for monitoring system health and identifying technical issues in production. CRM & Automation:

• While not directly customer-facing CRM, internal tools for project management, code repositories (e.g., Git), and CI/CD pipelines are essential.

• Automation tools for build processes, testing, and deployment of embedded software.

📝 Enhancement Note: The technology stack is diverse, reflecting the complexity of embedded UI development and the integration of AI. Proficiency in Roku's BrightScript is likely a significant advantage, alongside strong C/C++ for lower-level embedded work and modern scripting languages for UI development. The explicit mention of AI tools points to a modern, AI-augmented development workflow.

👥 Team Culture & Values

Operations Values:

• Ownership: Taking initiative and responsibility for features from conception through production, embodying a "startup-minded" approach.

• Collaboration: Deeply working with cross-functional teams (UI/UX, Product Management, Backend) to achieve common goals.

• Innovation: Continuously seeking new ways to improve user experience and leverage emerging technologies like AI/ML.

• Pragmatism: Balancing ambitious ideas with practical execution to deliver reliable, commercially viable solutions.

• Engineering Excellence: A commitment to high-quality code, robust systems, and effective technical problem-solving.

Collaboration Style:

• Cross-functional Integration: Engineers are expected to actively engage with designers, product managers, and other engineering disciplines to ensure cohesive product development.

• Open Communication: A culture that encourages sharing ideas, providing feedback, and discussing technical challenges openly.

• Fast-Paced Iteration: A dynamic environment where rapid prototyping and iterative development are encouraged, requiring agile communication and collaboration.

📝 Enhancement Note: Roku's culture values proactive individuals who can operate both independently and as part of a highly collaborative team. The blend of innovation with practical delivery is central to their operational ethos.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Innovation and Stability: Integrating cutting-edge AI/ML features into a stable, mass-market embedded platform requires careful management of complexity and potential risks.

• Cross-Functional Alignment: Ensuring seamless integration and communication across diverse teams (UI/UX, Product, Backend, Embedded) to deliver cohesive user experiences.

• Resource Constraints: Developing for embedded systems often involves working within specific hardware limitations (CPU, memory), requiring efficient and optimized solutions.

• Rapidly Evolving Technology: Staying abreast of advancements in AI/ML and embedding these technologies effectively into the platform while maintaining backward compatibility.

Learning & Development Opportunities:

• Deep Dive into AI/ML: Opportunities to work with advanced AI/ML techniques and tools in a production environment, potentially leading to specialization.

• Embedded Systems Mastery: Gaining in-depth expertise in the intricacies of embedded software development for consumer electronics.

• Platform Architecture: Understanding the broader Roku platform architecture, including cloud services and content delivery systems.

• Leadership & Mentorship: Potential to grow into technical leadership roles, guiding teams and projects, and mentoring junior engineers.

📝 Enhancement Note: This role presents a unique opportunity to work at the intersection of cutting-edge AI and embedded systems within a leading consumer electronics company. The challenges are significant but offer substantial growth potential for ambitious engineers.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex embedded UI feature you designed and implemented. What were the key technical challenges, and how did you overcome them?" (Focus on your process, problem-solving, and technical depth.)

• "How have you used AI/ML or LLMs in a software development project? What was the impact, and what were the trade-offs?" (Be ready to detail your experience with AI tools and their practical application.)

• "Imagine you need to design a new AI-driven feature for Roku's screensaver. How would you approach this, considering user experience, performance, and scalability?" (Prepare for system design questions involving AI and embedded constraints.) Company & Culture Questions:

• "Roku emphasizes a 'startup-minded' yet 'deeply collaborative' environment. How do you balance independent ownership with teamwork?" (Demonstrate your ability to be both a self-starter and a team player.)

• "What interests you specifically about Roku and our mission to power every television in the world?" (Show genuine interest and alignment with the company's goals.)

• "How do you approach staying current with rapidly evolving technologies like AI/ML?" (Highlight your commitment to continuous learning and adaptability.) Portfolio Presentation Strategy:

• Highlight AI Integration: Clearly demonstrate projects where AI/ML/LLM was used, explaining the problem, your solution, and the measurable results.

• Emphasize Embedded UI: Showcase your understanding of embedded constraints and how you've designed effective UIs within those limitations.

• Tell a Story: For each project, frame it as a narrative: the problem, your approach, the execution, and the outcome. Use data to support your claims.

• Be Prepared for Technical Deep Dives: Be ready to discuss code, architecture, and design decisions in detail for any project you present.

📝 Enhancement Note: Preparation should focus on articulating your experience with AI/ML in practical development contexts and demonstrating your understanding of embedded systems. A well-curated portfolio that highlights these areas will be your strongest asset.

📌 Application Steps

To apply for this Senior Software Engineer, Embedded UI position:

• Submit your application through the provided link on the Roku careers portal.

• Customize Your Resume: Tailor your resume to highlight experience with embedded systems, UI development, AI/ML/LLM technologies, and specific programming languages mentioned (JavaScript, TypeScript, Python, BrightScript, C/C++). Quantify achievements wherever possible.

• Prepare Your Portfolio: Curate a portfolio that showcases relevant projects, focusing on embedded UI development and AI integration. Be ready to discuss your process, technical decisions, and impact.

• Research Roku: Understand Roku's platform, its mission, and its culture. Familiarize yourself with their approach to AI and hybrid working.

• Practice Interview Responses: Prepare for technical, behavioral, and system design questions, particularly those related to embedded systems, AI/ML, and cross-functional collaboration.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.