Staff Software Engineer, ML Infrastructure, Core Infra
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years 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.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
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.
Our team is focused on bringing Google's Applied AI to the market! Our mission is to pioneer the development of conversational AI, enabling developers to build generative AI agents capable of engaging in complex, open-ended dialogues and completing autonomous tasks. Gemini said
Core Infra provides the foundation for this mission, driving critical efforts like Centralized Compliance, Conversation History Logging powering various customer facing and internal analytics. You will be passionate about building centralized expertise for horizontals or compliance and advance road map for Applied AI (AAI) products in this space.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Drive the technical direction and multi-year road map for conversational agent data systems, collaborating with Principal Engineers to align infrastructure capabilities with the rapid evolution of Generative AI and Agentis verticals.
- Architect and implement scalable, high-performance data solutions using Spanner and Google Cloud Platform (GCP), balancing the demands of real-time runtime storage with the complexity of massive-scale offline analytics.
- Act as the primary technical liaison for cross-functional partner teams, clarifying project scope and setting the architectural direction for both the producers and consumers of core product data.
- Advocate a culture of production excellence by leading design and code reviews across cross-site organizations.
- Support critical infrastructure investments that address scalability bottlenecks, technical debt, and operations, guiding the team through complex migrations in a high-velocity environment.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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