Staff Scientist – Agents for Science
Core
Designing and developing agentic AI systems that can reason, plan, act, and collaborate to support scientific discovery by interacting with simulations, data pipelines, and scientific software.
Role type
Staff Scientist (Agentic AI for Science)
Builds
Autonomous AI agents for scientific workflows and discovery
Domain
High-performance computing, AI for science, scientific discovery
Deliverable
production ML models | product features
Required skills
Reinforcement learning, planning, sequential decision-making, Python, C/C++, PyTorch/JAX, complex AI system design, tool use, workflow orchestration
Preferred skills
LLM-based systems, retrieval-augmented generation, tool calling, integrating AI with scientific software/simulations, distributed training, HPC environments
Technologies
Python, C, C++, PyTorch, JAX
Responsibilities
Designing agentic AI systems for scientific discovery, developing agents to interact with simulation workflows and data pipelines, building methods for tool use and workflow orchestration, evaluating agent performance for scientific usefulness and safety, conducting R&D aligned with strategic mission
Seniority
Staff, hands-on IC with strategic impact