1.5 Robotics AI Engineer – Field Foundation Models & Dynamics Foundation Models

Algorithm Development

Design and implement next-generation AI-powered Field Foundation Models (FFMs) and Dynamics Foundation Models (DFMs). Pioneer risk-aware, uncertainty-driven decision-making architectures that enable autonomous robots to navigate unstructured, high-stakes environments.

Reimagine planning algorithms, trajectory optimization, and task scheduling as a fusion of probabilistic reasoning, geometric intelligence, and adaptive AI, ensuring precise and reliable robot motion in dynamic environments.

Software Integration and Testing

Work extensively with ROS (Robot Operating System) to develop, test, and integrate next-gen autonomous intelligence modules modules.

Design, implement, and test real-world and simulation- learning loops, where self-evolving models refine planning, control, and perception through real-world interaction. Conduct field tests to validate performance and optimize system behavior.

Hands-On Robotics Deployment

Collaborate with hardware teams to ensure seamless software-hardware integration.

Travel to customer sites to deploy, calibrate, and fine-tune robotic systems in diverse and challenging real-world conditions.

Cross-Team Collaboration

Work closely with other engineering teams to align development efforts and achieve cohesive system performanc

Communicate effectively with non-technical stakeholders to explain robotic capabilities and project progress.