Google
Software Engineer, AI for Large-Scale Systems
Google, Kirkland, Washington, United States, 98034
Overview
Software Engineer, AI for Large-Scale Systems Join to apply for the
Software Engineer, AI for Large-Scale Systems
role at Google. About the Job
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 issues in building and maintaining large, complex 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 challenge. We focus 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. 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. Qualifications
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation. 2 years of experience with software development in C++ programming languages. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures or algorithms. Understanding of distributed systems and their operational issues. Compensation
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location. Your recruiter can share the specific salary range for your location during the hiring process. Compensation details reflect base salary only and do not include bonus, equity, or benefits. EEO Notice
Google is proud to be an equal opportunity workplace and 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. Additional
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Software Engineer, AI for Large-Scale Systems Join to apply for the
Software Engineer, AI for Large-Scale Systems
role at Google. About the Job
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 issues in building and maintaining large, complex 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 challenge. We focus 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. 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. Qualifications
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation. 2 years of experience with software development in C++ programming languages. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures or algorithms. Understanding of distributed systems and their operational issues. Compensation
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location. Your recruiter can share the specific salary range for your location during the hiring process. Compensation details reflect base salary only and do not include bonus, equity, or benefits. EEO Notice
Google is proud to be an equal opportunity workplace and 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. Additional
Referrals increase your chances of interviewing at Google. Get notified about new Software Engineer jobs in Kirkland, WA.
#J-18808-Ljbffr