Sr. Principal Scientist, Kiro Science
Core
Designing new primitives for coordination, concurrency control, state management, validation, and inter-agent communication for autonomous coding agents that operate in parallel and collaborate on codebases at scale.
Role type
Sr. Principal Scientist, Agentic Systems & AI Research
Builds
Next-generation autonomous coding agent systems and the underlying deterministic infrastructure stack
Domain
Artificial Intelligence, Agentic Systems, Deep Learning, Software Engineering
Required skills
PhD or Master's in CS/CE/ML, programming in Java/C++/Python, AI/NLP/multi-modality models, Deep Learning, LLM model training, graph learning, software engineering
Preferred skills
15+ years of research experience post-PhD, first-author publications at Tier-1 ML conferences (NeurIPS, ICLR, ICML, CVPR)
Technologies
Java, C++, Python, LLMs, Graph Learning
Responsibilities
Develop breakthroughs in agentic architecture (autonomy, self-validation, continuous learning, timeseries foundation models), mentor junior scientists, develop technology strategy and roadmap, develop prototypes and oversee productization, write technical reports and communicate with stakeholders
Seniority
Principal, strategy & mentorship