Google's AI and Infrastructure team is working on the world's toughest problems to redefine what's possible and make it easy. They empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability, and velocity. This role is critical to enabling advanced AI models, delivering computing power across global services, and offering platforms for developers to build services. The team shapes the future of hyperscale computing by inventing and creating world-leading future technology and drives global impact by contributing to Google infrastructure, from software to hardware, including building Vertex AI for Google Cloud.
Requirements
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 3 years of experience testing, maintaining, or launching software products.
- 1 year of experience with software design and architecture.
- 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- 5 years of experience with data structures/algorithms.
- 1 year of experience in a technical leadership role.
Responsibilities
- Write and test 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.
- Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or related technical field.
- Experience developing accessible technologies.
- Google is proud to be an equal opportunity workplace and is 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.
