US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Lead the technical strategy and client architecture for the Gemini App, designing modern, modular, and performant systems.
Partner with UX designers to craft fluid, highly responsive conversational interfaces, fluid motion designs, and intuitive modal interactions, ensuring the Gemini App feels like a natural extension of the user.
Translate complex Google DeepMind research breakthroughs (such as agentic behaviors, advanced tool use, and live experiments) into intuitive, high-quality Android user experiences.
Navigate high technical ambiguity to align engineering, product, UX, and research teams, shaping multi-quarter roadmaps and setting high standards for engineering excellence and developer velocity.
Mentor, sponsor, and grow junior and senior software engineers, establish rigorous code-review practices, and build a technical culture.
Minimum qualifications
Experience in mobile systems engineering (e.g., mobile application software development, mobile release management, mobile operating systems, software/hardware integration (e.g., SDK/frameworks, embedded software layers, devices).
Experience in designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
Experience in a technical leadership role, managing a team of engineers.
Experience with computer science fundamentals (e.g., data structures, algorithms, software design).
Experience in software optimizations on hardware, accelerators, or mobile Machine Learning software development.
Preferred qualifications
5 years of experience with software development in one or more programming languages. Experience with Android mobile app development (Kotlin, Java).
3 years of experience with mobile app development on Android and front end development.
Experience in developing or optimizing Android frameworks/products.
Experience in Android UI prototyping or development.
Experience in Android application development, tools, and release processes.
Experience in software optimizations on hardware, accelerators, or mobile Machine Learning software development.
Experience in mobile systems engineering (e.g., mobile application software development, mobile release management, mobile operating systems, software/hardware integration (e.g., SDK/frameworks, embedded software layers, devices).
Experience in designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
Experience in a technical leadership role, managing a team of engineers.
Experience with computer science fundamentals (e.g., data structures, algorithms, software design).
Experience in software optimizations on hardware, accelerators, or mobile Machine Learning software development.
