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Internet Services, Software, AI, Cloud Computing, Hardware

Staff Software Engineer, Google Ads

Mountain View, CAOnsiteFull TimeStaff$207,000–$300,000 /yrPosted 29 days agoVisa sponsorship available

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Required skills

  • software design
  • software architecture
  • software testing
  • launching software products
  • data structures
  • algorithms
  • technical leadership
  • project teams
  • technical direction
  • cross-functional projects

Nice to have

  • Master’s degree
  • technical field
  • matrixed organization

Role summary

Google is seeking a Staff Software Engineer for Google Ads to develop and enhance large-scale software solutions. This role involves technical leadership, design, development, testing, and deployment of cutting-edge AI and machine learning models. The engineer will work on high-impact projects, influence and coach a distributed team, and manage project priorities and deliverables. The position requires extensive experience in software development, design, architecture, and testing, with a focus on AI innovation within the advertising technology space. Collaboration with research teams and working on complex, large-scale systems are key aspects of this role.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products.
  • 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/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.
  • Experience working with advertising platforms.

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.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

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.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
  • Manage project priorities, deadlines, and deliverables.
  • Design, develop, test, deploy, maintain, and enhance large scale software solutions.
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