About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
Going beyond standard long-context retrieval, we are developing the Agera Kernel—a scalable engine designed for "pre-computation of expertise." The system leverages map-reduce style processing, agentic exploration, and persistent memory states to allow models to ingest, structure, and deeply understand complex domains prior to user interactions. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's degree in related technical field, or equivalent practical experience
- 15 years of experience in engineering or related function
More about this role
- Partner with product and research teams across Google Deepmind (GDM) and Google to invent 0-to-1 features and products powered by Agera, identifying where Agera creates real leverage and aligning teams around a shared goal.
- Develop across the full AI systems stack (e.g., agent harnesses and isolated subagent swarms, inspectable semi-structured state, vectorized tool execution, custom retrieval indices and universal reranking, large-scale evals, human-in-the-loop Studio UIs, and fine-tuning/expertise distillation into weights and skills).
- Balance rapid, exploratory prototyping with the discipline to write clean, scalable code.
- Lead complex engagements end-to-end, bridging different team roadmaps and constraints, setting technical direction, and driving convergence through working prototypes.
- Bachelor's degree in related technical field, or equivalent practical experience.
- 15 years of experience in engineering or related function.
- Experience with the modern LLM stack (e.g., agent architectures and harnesses, multi-agent swarms, post-training/fine-tuning/RL, or large-scale LLM evaluation).
- Experience in software engineering, systems infrastructure, or AI/ML modeling...
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