Senior Embedded UI Engineer - AI-Driven TV Platform

Roku

Manchester

Hybrid

GBP 70,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model

Global benefits

Job summary

Roku seeks a Senior Software Engineer for the OS UI/SDK team to design, develop, and deliver engaging platform features such as screensavers, wallpapers, trivia, and AI-driven content initiatives across millions of Roku users. You will prototype in a startup-minded environment and scale to production, collaborating with UI/UX, product, backend, and leadership teams.

You will drive AI/ML initiatives, explore agent-based workflows, and contribute to API and cloud/backend integration discussions,

Qualifications

Extensive experience in a software engineering environment.
Demonstrated project work using AI/ML and LLM technologies.
Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies.
Experience working in an embedded environment.
Experience in productionising solutions, including content management, UI development, cloud development, and cloud backend integration.
Knowledge of core OS concepts such as memory management and multi-threading.
Experience in API design, with an understanding of considerations and trade-offs.
Strong communication skills, with the ability to collaborate effectively across teams.
Consumer electronics experience in media, content, or ad product development is a plus.
Bachelor’s or Master’s degree in Computer Science or a related field.

Responsibilities

Design and develop features for new experiences on the Roku platform, including screensavers, wallpapers, trivia, and featured experiences.
Build proof-of-concept prototypes to validate ideas rapidly, working with a startup mindset to iterate quickly and deliver solutions.
Collaborate with UI/UX design, backend engineering, and product management teams to create and implement new user experiences.
Adapt proof-of-concept solutions into production-ready, scalable implementations.
Leverage AI, machine learning, and large language model technologies to develop innovative platform features.
Investigate, diagnose, and resolve technical issues to maintain commercially viable solutions.
Contribute to API design decisions, understanding considerations and trade-offs.
Work across cloud development, content management, and UI development to deliver end-to-end feature solutions.