Software Engineer, Infrastructure and Data AI, Ads Platform

Google

Mountain View, CA

JOB DETAILS
SKILLS
Advertising, Advertising Monitoring, Algorithms, Architectural Engineering, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Artificial Intelligence (AI) Natural Language, Best Practices, Business Growth, C++ Programming Language, Cloud Computing, Code Reviews, Computer Science, Computer Skills, Computer Storage Hardware, Content Development, Cross-Functional, Customer/Client Research, Data Science, Data Storage, Data Structures, Debugging Skills, Distributed Computing, Distributed Databases, Documentation, Ecosystems, Equal Employment Opportunity (EEO), Fortune 500 Customers, Google Search Engine, Hardware Architecture, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Java, Large-Scale Systems, Leadership, Modeling Languages, Natural Language Processing (NLP), Network Design, OLAP (OnLine Analytical Processing), Product Programs, Production Management, Production Systems, Python Programming/Scripting Language, Query Optimization, Scalable System Development, Small Business, Software Development, Software Engineering, Storage Architecture, Systems Administration/Management, Use Cases, User Interface Design, YouTube
LOCATION
Mountain View, CA
POSTED
30+ days ago

Minimum qualifications:

  • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
  • 2 years of experience with software development in Java, or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
  • Experience with generative AI technologies, large language models (LLMs), and building engineering productivity tools.
  • Experience managing production systems, including efficiency measurement and system optimization.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or a related technical field.
  • 2 years of experience with data structures, algorithms, large-scale query optimization, or distributed database ecosystems (e.g., Google Cloud Spanner).
  • Experience developing accessible technologies and building resilient backend architectures that support complex data science and data exploration use cases.
  • Experience programming in Python or C++.
  • Experience building and deploying Generative AI agents and utilizing comprehensive AI platforms to streamline developer workflows.

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.

In this role, you will build and support the critical infrastructure components that allow businesses, from local shops to Fortune 500 companies, to realize their goals. You will act as a curator and infrastructure provider for internal and external developer use cases across Google Ads, Search Ads 360, and Display and Video 360, constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Write product or system development code using Java to build highly scalable backend storage infrastructure and develop Large Language Model (LLM) based agentic AI solutions.
  • Participate in, or lead design reviews with peers and cross-functional stakeholders to decide amongst available technologies and drive the direction of AI-driven tools.
  • Review code developed by other developers and provide feedback to ensure best practices for massive-scale distributed databases and Online Analytical Processing (OLAP) engines.
  • Contribute to existing documentation or educational content for external developers and adapt content based on product/program updates and user feedback regarding AI agents that track changes to Ads entities.
  • Triage product or system issues related to bulk schema changes, and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the Company

G

Google

Build for everyone

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Benefits

We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

Learn more about Google’s benefits on this site featuring Googlers’ experience.

How we Hire

Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to  build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

Learn more about our hiring process.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer Software
EMPLOYEE BENEFITS
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
FOUNDED
1998
WEBSITE
https://goo.gle/4dbno6V