Software Engineering Manager, AutoCloud, Context and Memory

Software Engineering Manager, Auto Cloud, Context and Memory

Share Software Engineering Manager, Auto Cloud, Context and Memory

Google Sunnyvale, CA, USA ;
San Francisco, CA, USA

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

Share Software Engineering Manager, Auto Cloud, Context and Memory

X Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA;
San Francisco, CA, USA
.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience in a technical leadership role.
• 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
• 2 years of experience in a people management or team leadership role.

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience working in a complex, matrixed organization.
• Experience building multi-tenant architectures with strict access control, tenant isolation, and data governance standards.
• Proven experience designing agent memory systems (short-term/working memory, episodic/semantic memory), context caching (e.g., Gemini context caching), context compression/summarization, vector databases/embeddings, and knowledge graphs.
• Deep background in Information Retrieval (IR), hybrid search (semantic + lexical), graph data stores, and aggregating complex distributed state (logs, metrics, IAM, infrastructure topology).

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 extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work.

Auto Cloud is Google Cloud’s autonomous, AI-powered cloud management portfolio. We are transforming how enterprise customers design, deploy, operate, investigate, and optimize their workloads and infrastructure across GCP. Autonomous agents are only as capable as the context and memory they operate on. The Auto Cloud Context and Memory team is responsible for the core cognitive backbone that powers Auto Cloud agents: managing short-term dynamic context, long-term episodic and semantic memory, cloud topology graphs, context caching, and intelligent retrieval across petabyte-scale cloud logs, metrics, configurations, and historical runbooks.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at…