Software Engineer, Cloud AI, Early Careers

Requirements:

• PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, 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.
• Knowledge of Python or Java.
• Familiarity with Kubernetes development (e.g., Kubernetes Controllers, CRDs).
• Familiarity with Machine Learning and Large Language Model (LLM) concepts.
• Familiarity with Cloud platforms.

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:

• Google's cutting-edge technology and tools
• Opportunities to switch teams and projects
• Fast-paced and evolving business environment
• Versatile work across the full-stack