infrastructure
Posted Apr 16Principal Engineer, Gemini App Infrastructure
at DeepMind
Mountain View, California, United StatesOn-site
Responsibilities
- Architect the Gemini app serving and orchestration layers. Write the design docs and define the interfaces that ensure the codebase is scalable, modular, and capable of supporting rapid innovation.
- Design and implement robust CI/CD pipelines and experimentation platforms.
- Build the tooling that enables the wider engineering team to utilize A/B testing and feature flags to safely and quickly iterate.
- Drive application performance initiatives (performance, reliability, efficiency).
- Mentor staff and senior engineers, lead code reviews, and foster a culture of technical accuracy, psychological safety, and user-centricity. About You
Requirements
- Artificial intelligence will be one 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.
- As the Principal Engineer you will focus on architecting and building the flagship GeminiApp infrastructure.
- You will partner closely with Product, Design, and Engineering Directors to evolve our platform, personally engineering the complex, high-performance server-side infrastructure required to support fast chat interactions and agentic workflows.
- Act as the strategic technical counterpart to product and design leadership. Assess feasibility of ambitious concepts and propose technical solutions that turn AI capabilities into reality.
- Bachelor's degree in Computer Science or Engineering, or equivalent practical experience. 15 years of
- experience in software engineering, building and working with systems in the technology organization.
- Experience building large-scale serving infrastructure. •
- Experience implementing observability, telemetry, and real-time monitoring strategies.
- Ability to design and refactor complex server-side architectures that have scaled, ideally at the >1 billion user scale.
- At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.
- If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.