Staff Software Engineer, ML Infrastructure, Search Agentic Growth Engine

Google

Mountain View, California, United StatesFull-time$207,000–$300,000Posted Oct 21, 2026

About the role

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.

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.

In Google Search, we're reimagining what it means to search for information –

any way and anywhere. To do that, we need to solve complex engineering

challenges and expand our infrastructure, while maintaining a universally

accessible and useful experience that people around the world rely on. In

joining the Search team, you'll have an opportunity to make an impact on

billions of people globally.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/].

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.

Responsibilities

  • Design and build ML systems for real-time personalization, traffic pacing, model deployment, and user experience guardrails.
  • Architect and build an AI agent platform to plan, experiment, and optimize user journeys across Search promotions, notifications, and email.
  • Set technical direction for agentic growth systems, lead through code and design documents, and mentor junior engineers.
  • Partner with Product, UX, ML research, and engineering teams to advance Search priorities.

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 large-scale infrastructure, distributed systems, networks, or compute, storage, or hardware technologies.
  • 3 years of experience with software design and architecture.
  • Preferred: Master's degree or PhD in a related technical field.
  • Preferred: 8 years of experience with data structures and algorithms.
  • Preferred: 3 years in a technical leadership role and experience setting technical direction.

Benefits

  • 20% target bonus
  • Equity
  • Benefits package

Skills mentioned

C++GoDistributed SystemsSystem DesignSoftware TestingMachine LearningMLOpsModel DeploymentAI AgentsAutomation

About Google

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh

Software Development10,001+ employeesMountain View, CA

H-1B sponsorship history

Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.