Staff Software Engineer, ML Infrastructure, Search Agentic Growth Engine

Google•Mountain View, CA

1d•$207,000 - $300,000

About The Position

Google software engineers develop technologies that help users connect with and explore information at massive scale. This role is on the Google Search team, which is expanding its infrastructure and reimagining how people search while maintaining an accessible and useful experience worldwide. The engineer will work on software critical to Google’s needs and may have opportunities to move between teams and projects as the business evolves. The role focuses on ML infrastructure and agentic growth systems for Search. The engineer will design and build systems for real-time promo personalization, traffic pacing, continuous model deployment, and user-experience guardrails, and will help create an AI agent platform that plans, experiments, and optimizes user journeys across Search promotions, notifications, and email. The role involves setting technical direction, leading through code and design documents, mentoring engineers, and collaborating with product, UX, ML research, and engineering teams. Individual pay is determined by job-related skills, experience, and relevant education or training. The US salary range is $207,000–$300,000, plus a 20% bonus target, equity, and benefits.

Requirements

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.

Nice To Haves

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 ML systems for 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 promotions, notifications, and email.
Lead through code and design documents while setting technical direction for ambiguous 0-to-1 agentic growth systems.
Mentor junior engineers on the team.
Partner 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.
Manage project priorities, deadlines, and deliverables; design, develop, test, deploy, maintain, and enhance software solutions.