Software Engineer, Fuchsia Performance

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Fuchsia is a modern, open source operating system that is simple, secure, updatable, and performant. It’s a general purpose OS, designed to power an ecosystem of hardware and software, and provides core operating system functions like system resource management, a driver framework, and software abstractions.

Responsibilities

• Analyze complex trace data and performance metrics to identify critical performance and power optimization opportunities. Lead the hunt for elusive performance and power optimizations by leveraging AI-driven analysis, influencing the speed and battery life of Google's next-gen devices.
• Design, develop, and maintain advanced performance analysis tools for Fuchsia across architectures and products, integrating AI capabilities into our tracing, profiling, and benchmarking infrastructure.
• Develop and maintain a comprehensive suite of automated performance tests and metric tracking frameworks that ensure Fuchsia's optimal performance across various products.
• Partner with teams across the organization, providing expert guidance on performance analysis, optimization strategies, and benchmark development to ensure their code leverages performance analysis tools effectively.