Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. Products need to handle information at massive scale and extend beyond web search. The Core team builds the technical foundation behind Google's flagship products, owning and advocating for underlying design elements, developer platforms, product components, and infrastructure. They aim to build central solutions, break down technical barriers, and strengthen existing systems, impacting important technical decisions across the company.
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 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.
- Master's degree or PhD in Computer Science or related technical fields.
- Versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack.
- Preferred working location: Mountain View, CA, USA; Sunnyvale, CA, USA.
