--- title: Staff Software Engineer, Eval Infra TL, Quality description: Staff Software Engineer, Eval Infra TL, Quality Platform, Gemini Cloud Operator, Agentic AI at Google. See the full description and apply. type: job url: https://www.foundrole.com/jobs/staff-software-engineer-eval-infra-tl-quality-platform-gemini-cloud-operator-agentic-ai-at-google-01a1cf1f-ed4f-7a7e-8f13-1ed584bf68dd date: 2026-11-15T01:26:44Z og_description: Join Google as Staff Software Engineer, Eval Infra TL, Quality Platform, Gemini Cloud Operator, Agentic AI in Sunnyvale, CA. og_image: https://www.foundrole.com/og/v9xxpg.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) | | **Location** | Sunnyvale, CA | | **Salary** | $207K/yr - $300K/yr | | **Posted** | Nov 12, 2026 | ## Is this job real? **Ghost job check:** A- · Low risk. Probably a real opening. ## Visa sponsorship - **H-1B:** Google sponsors H-1B visas. It filed 9,179 H-1B petitions (FY2026 Q1 – FY2026 Q4). - **E-Verify:** No E-Verify enrollment on record for Google. ## Pay for similar jobs Most similar jobs pay $182,000 – $254,000 a year (median $213,000). ## Description 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. Gemini Cloud Assist is designed to simplify how customers learn, design, deploy, and operate their services. Our vision is to establish an intelligent AI agent as the primary interface for cloud operations, integrating seamlessly across the Cloud Console, IDEs, and other developer surfaces. This role focuses on the Quality Flywheel, a foundational platform at the core of our AI quality strategy. You will build the end-to-end system that drives our agent’s continuous, automated improvement. This involves analyzing user interactions, implementing real-time evaluations to detect successes and failures, generating high-quality evaluation data, and creating feedback loops that drive model self-improvement and fine-tuning. Your work will directly contribute to making Gemini the leading model for cloud operational tasks, ensuring it delivers exceptional performance and reliability for our customers. 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 Learn more about [benefits at Google](https://www.google.com/about/careers/applications/benefits/). - Serve as overall Tech Lead for the Quality Platform, architecting core Quality Flywheel components and scalable ML infrastructure. - Lead mission-critical efforts, including Gemini simulation, deep system integrations, eval generation, and next-gen eval infrastructure. - Establish and scale testing and reliability frameworks to ensure high platform quality and performance at scale. - Collaborate across teams to translate complex, ambiguous requirements into simple, robust engineering solutions. - Mentor engineers, strengthen team culture, and drive production stability through on-call rotations and environment improvements. ### Minimum qualifications: - Bachelor’s degree or equivalent practical experience. - 8 years of experience in software development. - 5 years of software engineering leadership in ML Infrastructure, ML, or product-focused AI. - 5 years of experience with large-scale distributed systems. - Experience with Generative AI lifecycle, including Agent frameworks or protocols (e.g., MCP, A2A), RAG, prompt engineering, or model evaluation systems. ### Preferred qualifications: - Master’s degree or PhD in Engineering, Computer Science, or a related technical field. - 8 years of experience with data structures and 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. - Experience architecting or contributing to simulation frameworks, evaluation infrastructure, or enterprise quality platforms. - Bachelor’s degree or equivalent practical experience. - 8 years of experience in software development. - 5 years of software engineering leadership in ML Infrastructure, ML, or product-focused AI. - 5 years of experience with large-scale distributed systems. - Experience with Generative AI lifecycle, including Agent frameworks or protocols (e.g., MCP, A2A), RAG, prompt engineering, or model evaluation systems. ## Skills - Google Gemini - Technical Leadership - Technical Direction - Prompt Engineering - Artificial Intelligence - Algorithms - Model Evaluation (Machine Learning) - Retrieval-Augmented Generation (Rag) - Software Development - Agent2Agent Protocol (A2a) - Generative AI - Model Context Protocol (Mcp) - Simulations - AI Agent Frameworks - Leadership - Systems Integration - Computer Science - Data Structures - Machine Learning - Generative AI Foundations - Distributed Systems ## Related - [More jobs at Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) - [Data & Analytics jobs](https://www.foundrole.com/careers/data-and-analytics?utm_source=ai_markdown)- [Machine Learning & AI jobs](https://www.foundrole.com/careers/data-and-analytics/machine-learning-and-ai?utm_source=ai_markdown)- [Artificial Intelligence Engineer jobs](https://www.foundrole.com/careers/data-and-analytics/machine-learning-and-ai/artificial-intelligence-engineer?utm_source=ai_markdown)- [Generative AI / LLM Engineer jobs](https://www.foundrole.com/careers/data-and-analytics/machine-learning-and-ai/artificial-intelligence-engineer/generative-ai-llm-engineer?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - 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