IT & Software

Senior Software Engineer, C++ UI

Roku

Manchester · Greater Manchester · United Kingdom

Overview

In this Senior Software Engineer role, you will help architect and optimize Roku’s core UI systems and rendering engines to deliver a smooth, graphics-rich experience across embedded devices. You’ll tackle low-level performance challenges, shape APIs for higher-level frameworks, and collaborate with firmware and driver teams to leverage hardware capabilities. The role combines systems programming with AI-enabled tooling to accelerate development and profiling. It’s a hands-on position aimed at pushing microsecond-level performance in a fast-growing, collaborative environment.

Pay / Benefits
  • global mental health resources
  • financial wellness support
  • healthcare (medical, dental, vision)
  • life, disability, and commuter benefits
  • retirement options (401(k)/pension)
  • paid time off and personal leave
Responsibilities
  • Architect and optimize core C++ UI frameworks and rendering engines for cross-hardware performance
  • Lead investigations into bottlenecks, memory leaks, and GPU/CPU synchronization issues
  • Develop and maintain low-level graphics APIs and layout systems for Roku’s ecosystem
  • Integrate AI/ML capabilities at the systems level to optimize code generation and profiling
  • Collaborate with firmware and driver teams for hardware-specific optimizations
  • Mentor junior developers via code reviews, design sessions, and core-systems documentation
  • Drive engineering excellence with debugging tools, automated performance regression suites, and modern C++ practices
Key requirements
  • 5+ years of software engineering with a strong C++ focus (C++14/17/20)
  • Deep systems programming experience (memory management, multi-threading, abstraction layers)
  • Experience with graphics APIs (OpenGL, Vulkan, or proprietary embedded stacks) and rendering pipelines
  • Proficiency in Python for tooling; BrightScript or JavaScript knowledge a plus
  • Strong root-cause analysis skills using GDB, Valgrind, or platform profilers
  • Knowledge of AI applications and hands-on experience with generative AI tools
  • Proactive, performance-driven mindset for embedded systems
  • collaboration with cross-functional teams
  • mentoring and technical leadership
  • problem-solving and analytical thinking
  • C++ (14/17/20)
  • memory management
  • multi-threading

Reference: WJ-747_30177165

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