Careers
Careers

job details

Back to jobs search

Jobs search results

2,686 jobs matched
Back to jobs search

Senior Software Engineer, AI for Large Scale Systems

GoogleKirkland, WA, USA

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience with software development in C++ programming languages.
  • Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience with Large Language Models (LLMs), prompt engineering, or agentic AI systems.
  • Understanding of distributed systems and their operational tests.

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.

The AI for Large Scale Systems (AILS) team in Core Data aims to transform the design, development, and operation of large-scale infrastructure systems through the innovative application of Artificial Intelligence.

Our mission is to leverage AI to address key tests in building and maintaining large software systems. This includes dramatically improving AI-assisted code generation, especially within Google's extensive and intricate codebases where knowing where to even begin is a test. We are also focused on using AI to enhance code quality, improve system reliability, and deepen our understanding of system behavior. We aim to build tools and agents that assist engineers in producing correct, well-tested, bug-free, and maintainable code, as well as in operating these systems effectively.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

The US base salary range for this full-time position is $166,000-$244,000 + 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

  • Enhance and productionize the Glimpse codebase indexing system to improve AI understanding and code generation capabilities within large Google projects.
  • Develop and prototype AI-driven tools and agents to improve code authoring.
  • Contribute to the development of AI-powered tools for code quality and reliability.
  • Collaborate with engineers and researchers across Core Data and other parts of Google to identify opportunities, deploy solutions, and measure impact.
  • Contribute to benchmarks and evaluations for AI coding agents and tools.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google apps
Main menu