What are the responsibilities and job description for the Principal Engineer, Gemini App Infrastructure position at Google DeepMind?
Snapshot
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. 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.
The Role
As the Principal Engineer you will focus on architecting and building the flagship GeminiApp infrastructure. You will serve as the technical anchor for the application and orchestration layer, owning the code quality, architectural decisions, and system design of new design systems and functionality. 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. In this role, you will be a leader who can balance defining a long-term technical roadmap for a paradigm-shifting infrastructure and dive deep into code to drive high velocity, stability, and quality.
Key responsibilities:
In order to set you up for success, we look for the following skills and experience:
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy listed for the position, we will contact you to set up an initial interview where you will have the opportunity to ask questions and learn more about the position.
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
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. 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.
The Role
As the Principal Engineer you will focus on architecting and building the flagship GeminiApp infrastructure. You will serve as the technical anchor for the application and orchestration layer, owning the code quality, architectural decisions, and system design of new design systems and functionality. 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. In this role, you will be a leader who can balance defining a long-term technical roadmap for a paradigm-shifting infrastructure and dive deep into code to drive high velocity, stability, and quality.
Key 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). Debug complex production issues and advocate for code quality standards to ensure the infrastructure scales to our product needs.
- 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.
- Mentor staff and senior engineers, lead code reviews, and foster a culture of technical accuracy, psychological safety, and user-centricity.
In order to set you up for success, we look for the following skills and experience:
- 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.
- Ability to analyze data to identify bottlenecks and drive technical decisions regarding performance optimizations.
- Ability to unblock teams by solving the hardest technical problems, balancing technical debt with feature work, and driving predictable delivery through architectural clarity.
- Ability to drive technical consensus across multiple teams and stakeholders, translating technical constraints into clear options for leadership.
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy listed for the position, we will contact you to set up an initial interview where you will have the opportunity to ask questions and learn more about the position.
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.