Job description

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. We're looking for engineers who are excited by having an outsized impact on the world through mobile and infrastructure development. People on our team frequently work cross-functionally and across languages, and paradigms. In this role, you will architect and deliver cutting-edge optimization infrastructure to elevate system health metrics across all first-party application teams, directly enhancing the user experience for billions globally. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . • Build and maintain agentic end-to-end benchmarking pipelines and diagnostic tooling to track, reproduce, and guard against performance regressions. • Leverage AI to profile traces to diagnose memory, and cpu bottlenecks, identifying high-impact optimization opportunities. • Improve the overall user experience by improving efficiency of applications by reducing memory, jank and execution runtimes. • Partner closely with 1P Apps (Search, YouTube, Geo) and other Infrastructure teams to design centralized solutions. • Bachelor’s degree or equivalent practical experience. • 5 years of Android application development experience. • 5 years of experience in coding with Kotlin and Java. • 3 years of working experience with performance and memory. Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 5 years of Android application development experience. • 5 years of experience in coding with Kotlin and Java. • 3 years of working experience with performance and memory. Preferred qualifications: • Master's degree or PhD in Computer Science or related technical fields. • 5 years of experience working with two or more from the following: Android development, Machine learning, Performance Optimizations. • 5 years of experience in one or more of the following: test automation, refactoring code, test-driven development, build infrastructure, optimizing software, debugging, building tools and testing frameworks

Requirements

Must-haves

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Build and maintain agentic end-to-end benchmarking pipelines and diagnostic tooling to track, reproduce, and guard against performance regressions.
Leverage AI to profile traces to diagnose memory, and cpu bottlenecks, identifying high-impact optimization opportunities.
Improve the overall user experience by improving efficiency of applications by reducing memory, jank and execution runtimes.
Partner closely with 1P Apps (Search, YouTube, Geo) and other Infrastructure teams to design centralized solutions.
Bachelor’s degree or equivalent practical experience.
5 years of Android application development experience.
5 years of experience in coding with Kotlin and Java.
3 years of working experience with performance and memory.
Bachelor’s degree or equivalent practical experience.
5 years of Android application development experience.
5 years of experience in coding with Kotlin and Java.
3 years of working experience with performance and memory.
5 years of experience working with two or more from the following: Android development, Machine learning, Performance Optimizations.
5 years of experience in one or more of the following: test automation, refactoring code, test-driven development, build infrastructure, optimizing software, debugging, building tools and testing frameworks

Nice-to-haves

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Master's degree or PhD in Computer Science or related technical fields.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikotlinjavamachine learning

Platform: google
Effort: medium