Google needs software engineers to develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another, and to solve critical business problems for customers in more than 200 countries and territories
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
- Master's degree or PhD in Computer Science or related technical fields
- 2 years of experience with data structures or algorithms
- Experience developing accessible technologies
Responsibilities
- Write product or system development code
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality
- Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements
Other
- Bachelor’s degree or equivalent practical experience
- Must be authorized to work in the United States
- Google is proud to be an equal opportunity workplace and is an affirmative action employer
- 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
- Consider qualified applicants regardless of criminal histories, consistent with legal requirements