Lead Principal Applied Scientist - Robotics

Oracle•United States,

About The Position

The IC5 Applied Scientist for Robotics, Perception, and Embodied AI will serve as a senior technical leader responsible for defining, prototyping, and delivering AI capabilities for commercially viable robotic systems. This role partners across science, software engineering, product, and hardware teams to identify high-impact opportunities, translate ambiguous product needs into research and engineering roadmaps, and guide end-to-end solution development from data collection and experimentation through production deployment. The scientist will lead applied research in multi-sensor fusion, real-time signals, perception, multimodal reasoning, reinforcement learning, and action-conditioned planning, with a strong bias for hands-on execution and full-stack delivery. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

Requirements

IC5 Applied Scientist level experience
Expertise in Robotics, Perception, and Embodied AI
Experience in multi-sensor fusion
Experience with real-time signals
Experience in perception
Experience in multimodal reasoning
Experience in reinforcement learning
Experience in action-conditioned planning
Hands-on execution and full-stack delivery capabilities

Responsibilities

Serve as a senior technical leader responsible for defining, prototyping, and delivering AI capabilities for commercially viable robotic systems.
Partner across science, software engineering, product, and hardware teams to identify high-impact opportunities.
Translate ambiguous product needs into research and engineering roadmaps.
Guide end-to-end solution development from data collection and experimentation through production deployment.
Lead applied research in multi-sensor fusion, real-time signals, perception, multimodal reasoning, reinforcement learning, and action-conditioned planning.
Demonstrate a strong bias for hands-on execution and full-stack delivery.