Senior Software Engineer

As a Senior Software Engineer, you will be a key architect of the core systems that underpin Roku s user experience. You will design and implement performance-critical code within our UI engine, focusing on graphics primitives, memory efficiency, and hardware acceleration. You ll tackle complex systems-level challenges such as optimizing frame rates on resource-constrained hardware and building robust APIs for higher-level frameworks. This role is ideal for engineers who thrive on low-level systems programming, care about performance down to the microsecond, and want to build the high-performance foundations that power the future of television.

What You ll Be Doing

• Architect and optimize core C++ UI frameworks and rendering engines to ensure buttery-smooth performance across a diverse range of hardware profiles.
• Lead technical investigations into system-level bottlenecks, memory leaks, and GPU/CPU synchronization issues.
• Develop and maintain low-level graphics APIs and layout systems that serve as the backbone for Roku s application ecosystem.
• Integrate AI/ML capabilities at the systems level, leveraging generative AI tools to optimize code generation and automate performance profiling.
• Collaborate with firmware and driver teams to leverage hardware-specific optimizations and ensure seamless integration with the underlying OS.
• Mentor junior developers through deep-dive code reviews, architectural design sessions, and technical documentation of core systems.
• Drive engineering excellence by implementing advanced debugging tools, automated performance regression suites, and modern C++ best practices.

We re Excited If You Have

• Minimum of 5+ years of software engineering experience with a heavy focus on C++ (C++14/17/20).
• Deep understanding of systems programming, including memory management, multi-threading, and hardware-software abstraction layers.
• Experience with graphics APIs (e.g., OpenGL, Vulkan, or proprietary embedded graphics stacks) and rendering pipelines.
• Proficiency in Python for tooling and automation, with a working knowledge of BrightScript or JavaScript being a significant plus.
• Strong root cause analysis skills, specifically using tools like GDB, Valgrind, or platform-specific profilers.
• Knowledge of AI applications and hands-on experience using generative AI tools to accelerate systems-level development.
• A proactive mindset with a passion for squeezing every drop of performance out of embedded systems and a commitment to data-driven optimization.