Bachelor’s degree or equivalent practical experience.
Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
Experience working with data structures or algorithms during coursework/projects, research, internships, or practical experience in school or work (e.g., open-source coding).
Nice to haves:
Experience developing and deploying distributed systems software.
Experience developing in C++, Go.
Familiarity with Kubernetes development (e.g., Kubernetes Controllers, CRDs).
Familiarity with Machine Learning and Large Language Model (LLM) concepts.
Familiarity with Cloud platforms.
Knowledge of Python or Java.
What you'll be doing:
Work on implementation and designs of Search features (e.g., support for structured search, standalone grounding API, reranking of search results based on user's interactions with previous results, filtering out search results based on ACLs, integration with third-party data sources).
Work on Kubernetes-based infrastructure configuration, to ensure scalability and performance goals are met.
Contribute to launch of Search and to work on future post-GA roadmap items.
Contribute to solving novel engineering challenges requiring use of advanced GenAI capabilities.
Perks and benefits:
Opportunity to work on cutting-edge technologies at a global company like Google.
Collaborate with a versatile team on critical projects.