Staff Software Engineer, ML Infrastructure, Search Agentic Growth Engine

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.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++, Go, or Java.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture.

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.

Responsibilities

• Design and build the ML systems that power real-time promo personalization, automated traffic pacing, continuous model deployment and automated user experience guardrails at Search scale.
• Architect and build Seaport's next-generation AI agent platform to autonomously plan, experiment, and optimize end-to-end user journeys across Search promo, notifications, and email.
• Lead through code and design docs while setting the technical direction for ambiguous 0-to-1 agentic growth systems. Mentor junior engineers on the team.
• Partner closely with Product, UX, ML researchers, and adjacent engineering teams to accelerate adoption of flagship Search priorities, including AI Mode, Personal Intelligence, iGA, Sign-in, and Search Subscriptions.