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 to address key issues in building and maintaining large, complex software systems at Google.
Requirements
- 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.
- 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.
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.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- Must be authorized to work in the United States
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.
