Sr. Principal Scientist, Kiro Science

We are building the systems foundations for the next generation of autonomous coding agents, agents that operate in parallel, run for hours or days, and collaborate on codebases at a scale that breaks the assumptions of tools built for human developers. The hard problems in this space are no longer about model quality alone. They are about the systems layer underneath: how agents coordinate, how state is managed across long horizons, how correctness is preserved when many agents act concurrently, and how deterministic infrastructure can take on responsibilities that LLMs cannot reliably handle. Our team treats these as first-class research and engineering problems. We are designing new primitives for coordination, concurrency control, state management, validation, and inter-agent communication that move responsibility out of fragile LLM-mediated paths and into systems that are predictable, debuggable, and fast. Early prototypes have produced order-of-magnitude improvements in throughput and eliminated entire classes of integration-time failures that conventional architectures ship silently. The opportunity ahead is to define what the standard agent-systems stack looks like. Key job responsibilities Key job responsibilities - Develop breakthroughs in agentic architecture across areas such as autonomy, self-validation, continuous learning and timeseries foundation models. - Mentor and guide junior scientists. - Develop technology strategy and roadmap supporting product development - Develop prototypes for key technology, oversee the productization of the prototype, and develop critical assessment for the prototype - Write technical reports summarizing R&D progresses and communicate such progresses with stakeholders