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X In most instances, this position requires in-person interviews as part of the hiring process.
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.
About the jobGemini 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 .
Responsibilities - 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.
