Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development in one or more programming languages (e.g., C , Python).
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

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.
• Experience developing agentic systems, including multi-agent architectures, Model Context Protocol (MCP) integration, and benchmarking for agentic reliability and safety (e.g., AgentBench, CLEAR).

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Join us in revolutionizing how billions of users interact with their most critical information within Google Workspace. Our team is at the heart of Workspace's artificial intelligence (AI) transformation, building the intelligent, agentic layer that deeply understands and acts upon user needs across Gmail, Drive, Calendar, Chat, and beyond. In this role, you will manage the exciting issues of creating Generative Artificial Intelligence agents that can semantically search, reason over, and synthesize information from Workspace sources to provide direct, high-quality answers and power sophisticated, personalized workflows.

AI will change the future of work in profound ways, and our products- Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.
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

• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Clarify and solve ambiguous technical issues by collaborating with leadership and cross-functional partners to integrate Agentic infrastructure.
• Partner with Workspace vertical teams to drive engineering excellence, proactively anticipating scaling bottlenecks to ensure low-latency performance and reliability.
• Develop the technical goals and roadmap for our Agentic future, exhibiting strong judgment in balancing immediate product needs with the long-term health of our autonomous protocols.