Senior Software Engineer, Windows Desktop App, DeepMind

Google DeepMind; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind is seeking a Software Engineer to join the Gemini Windows Desktop App team, leading the 0-to-1 development and scaling of native Windows client integrations, bridging modern web and desktop technologies to deliver a fast, seamless AI experience to hundreds of millions of users worldwide.

In this role you will work on AI agents, 2D/3D game testing, physics simulators, and visualizing results, building agent leaderboards and testing new algorithms on robots.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of software development experience in one or more programming languages.
• 3 years testing, maintaining, or launching software products; 1 year in design/architecture.
• Experience building desktop or full-stack client apps with TS/JS or C++/Win32.

Responsibilities

• Write and test product or system development code.
• Review code and provide feedback to ensure best practices.
• Contribute to existing documentation and update content per product updates.
• Triage product or system issues and debug/resolve across hardware, network, or service quality.
• Drive platform excellence in process isolation, IPC security, crash telemetry, and delta auto-updates.

Education

Master's degree or PhD in Computer Science or related technical field

Tools

TypeScript

JavaScript

Electron

Chromium

Node.js

C++

Win32 APIs

Node-API

Named Pipes IPC

UI Automation

Job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

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.

About The Job

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

Responsibilities

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .