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Google DeepMind logo

Senior Staff Software Engineer, GeminiApp Infrastructure, DeepMind

Google DeepMind · Posted 3 days ago

$262k–$364kic
Distributed SystemsServing InfrastructureAgentic SystemsServer ArchitectureDashboardsInfrastructure Tooling

We are the Gemini App Horizontal Agentic Platform and Infrastructure team responsible for all aspects of serving and agentic infrastructure for the Gemini App. This ranges from server architecture, query flow and harness to building necessary tools and dashboard to keep the service running. We are a fast-paced organization bringing features from ideation to launch in a matter of months. We are a non-bureaucratic, innovative, bottom-up organization. In this role, you are responsible for building the next-generation serving stack for the Gemini App as it continues to evolve. You need to dynamically adapt to the changing needs of the product and be agile. You will help the entire Gemini App organization move fast through various infrastructure initiatives. 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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

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There are 292 open roles at Google DeepMind right now. This role is one of 9,090 Software Engineer openings and centers on Distributed Systems, Serving Infrastructure, Agentic Systems, and Server Architecture.

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