August 5, 2025

Principal Engineer, AI Studio and Gemini API

Senior • On-site

$294,000 - $414,000/yr

Mountain View, CA , +1

Minimum qualifications:

Bachelor's degree in Computer Science or equivalent practical experience.
15 years of experience in software engineering, building and working with systems in technology organizations.
Experience in Machine Learning or Artificial Intelligence.

Preferred qualifications:

Master's degree or PhD in Computer Science, Mathematics, or Engineering.
Experience with large models (language or multi-modal).
Knowledge of ML.
Technical expertise in systems and software with the leadership skills to influence technical leaders across the company.

About the job

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state-of-the-art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

Join Google DeepMind's high-visibility AI Studio and Gemini API team and play a pivotal role in shaping the future of AI development. As a Principal Engineer, you will be directly responsible for designing, developing, and deploying critical Gemini API features that empower developers worldwide. You'll collaborate closely with product managers, Technical Program Managers (TPMs), and fellow engineers, providing technical leadership and mentorship while maintaining a significant coding presence.

A conversational AI tool that enables users to collaborate with generative AI and help augment their imagination, expand their curiosity, and enhance their productivity.

The US base salary range for this full-time position is $294,000-$414,000 + 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, design, and lead the development of highly scalable and robust Gemini API features and infrastructure used to externalize Gemini Models and their tooling ecosystem to external developers.
Collaborate strategically with partner Product teams to advance LLM state-of-the-art techniques.
Drive the scaling of the Gemini Model serving stack to work on many requests per day and support developers, identifying and resolving complex performance bottlenecks.
Take end-to-end ownership of significant components within the entire lifecycle of the model serving stack, from research and internal testing to externalization via API and AI Studio.
Serve as a Technical Lead (TL) for critical areas, such as the operationalization of Gemini models from research/internal testing to external developers in production.

Google

Google LLC started as a PhD project by Larry Page and Sergey Brin in 1998 at Stanford University. Google LLC has blossomed into a behemoth of the tech world. With its mission to organize the world's information and make it universally accessible and useful, Google’s search engine is its crown jewel. Online advertising, via AdWords and AdSense, forms the backbone of its financial success. Beyond search, Google has ventured into cloud computing, hardware, and software development. The innovative PageRank algorithm revolutionized search engine technology, and surviving the dot-com bubble burst and going public in 2004 spurred its meteoric growth. Acquiring YouTube stands as a testament to Google’s strategic expansion.