Role overview
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
What you'll work on
- Lead the strategy, design and implementation of the agentic AI systems for enterprise use cases.
- Build the enterprise AI agents, with a quality focussed approach (e.g., prioritizing eval, hillclimbing, scalability perspective).
- Develop quality centric approaches for multi-agent orchestration and architecture, enabling specialized agents to work together seamlessly to achieve complex goals together.
- Use foundational capabilities for agent tool use and reasoning, allowing agents to autonomously interact with APIs, databases, and other applications to accomplish their tasks.
- Build systems for evaluation, loss-pattern analysis to ensure systematic quality hill climbing for agents and collaborate with key partner teams (including Agentic AI infra team and GoogleDeepMind) to leverage and shape the future of Google's core agent frameworks and quality of the models.
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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
What we're looking for
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 8 years of experience in ML/AI focused software development with a quality focused approach.
- 6 years of experience in ML design, quality hillclimbing, optimizing and scaling the ML models (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a matrixed organization involving cross-functional, or cross-business projects.