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Google
Mountain View, California, United States
(on-site)
Posted
14 hours ago
Google
Mountain View, California, United States
(on-site)
Job Type
Full-Time
Principal Engineer, Gemini App Infrastructure, DeepMind
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Principal Engineer, Gemini App Infrastructure, DeepMind
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Minimum qualifications:- 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.
Preferred qualifications:
- 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.
About the job
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.
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 learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
The US base salary range for this full-time position is $307,000-$427,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
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.
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Requisition #: 118613745621443270
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Job ID: 83233429
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