The role
From Google's own posting.
At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.
In this role, on the Gemini Windows Desktop App, you will lead the 0-to-1 development and scaling of Gemini’s native Windows client. You will build deep OS-level integrations, native desktop features, and agentic UI automation tools, bridging modern web and client technologies with native Windows systems to deliver a fast, seamless AI experience to hundreds of millions of users worldwide.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
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 .
Write and test product or system development code.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Drive platform excellence in process isolation, IPC security, crash telemetry, and delta auto-updates.
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Experience building desktop or full-stack client applications using TypeScript/JavaScript (e.g., Electron, Chromium, Node.js) or native Windows systems programming (e.g., C++, Win32 APIs, Node-API native addons, Named Pipes IPC, UI Automation).
Experience across the client/web boundary bridging desktop native capabilities with modern web applications and experience with building real AI systems, desktop agents, or LLM-powered user workflows.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical field.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Experience building desktop or full-stack client applications using TypeScript/JavaScript (e.g., Electron, Chromium, Node.js) or native Windows systems programming (e.g., C++, Win32 APIs, Node-API native addons, Named Pipes IPC, UI Automation).
Experience across the client/web boundary bridging desktop native capabilities with modern web applications and experience with building real AI systems, desktop agents, or LLM-powered user workflows.