AI Research Software Engineer, Code Search

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 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 one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• 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.
  
• Experience with Google infrastructure and building scalable distributed systems.
• Working knowledge on GenAI, RAG, Agents

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Empower Agents and Googlers with efficient and intelligent code exploration capabilities, enabling them to find, understand, and utilize code effectively. We strive to create a seamless and intuitive exploration agents that accelerates development workflows and fosters knowledge sharing across Google.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

• Partner with agent teams (Gemini Coder, Duckie, Basecamp) to create sub-agents, tools, RAG solutions and workflows enabling them to do better code exploration.
• Research and POCs on new techniques of improving accuracy of code exploration for coding and knowledge Agents.
• Integrate LLMs, RAG, Skills to augment Code Search with features like natural language code search, chat agents.
• Design, develop, and maintain core features of the Google Code Search platform, used by thousands of engineers daily.
• Improve the efficiency and scalability of Code Search infrastructure, ensuring fast response times and high availability.