Senior Staff Software Engineer, Gemini

Google Inc.; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Sunnyvale seeks a Senior Staff Software Engineer for Gemini to design and scale large-scale distributed ML infrastructure, driving core components and accelerating AI adoption across Google Cloud Platform. You will influence architecture, implement quality gates, and mentor engineers in a fast-paced, cross-functional environment.

The role emphasizes leadership, strong software design, testing practices, and collaboration with Google Cloud, DeepMind, and the broader AI ecosystem to deliver

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Responsibilities

• Design, build, and scale large-scale distributed ML infrastructure and tooling.
• Lead the development of advanced AI quality components and evaluation workflows.
• Lead robust software design and automated testing practices and participate in on-call rotations.
• Coach and mentor junior and mid-level engineers and foster a high-performing team culture.

Skills

Software development

ML infrastructure

Reinforcement learning

Generative AI integration

Distributed systems design

Education

Bachelor’s degree or equivalent practical experience

Job description

Share Senior Staff Software Engineer, Gemini

corporate_fare Google place Sunnyvale, CA, USA

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures/algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will work on a large-scale distributed system that is critical for the AI adoption for Google Cloud Platform (GCP). You will drive core infra pieces (Autocloud Simulation and Benchmark, Quality Self-improvement, Agentic Eval Workflow, GCP Quality Gate, Gemini Upstreaming, GCA Feature Store, etc.). Your work is a combination of infra, quality, AI. Gemini Cloud Assist is expanding rapidly as a very core foundation for GCP's AI initiative. You will have the opportunity to influence and work across Google Cloud, DeepMind, and the external AI ecosystem.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

• Design, build, and scale large-scale distributed ML infrastructure and tooling, including the Simulation and Benchmark platform, to support Gemini post-training and accelerate GCP's AI adoption.
• Lead the development of advanced AI quality components, such as agentic self-improvement, evaluation workflows, Gemini upstreaming, and automated quality gates for first-party skills.
• Lead robust software design and automated testing practices, participate in on-call rotations, and continuously optimize test and production environments for reliability and performance.
• Coach and mentor junior and mid-level engineers, enforce architectural best practices, and actively cultivate a high-performing team culture.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.