Robotics AI Engineer – Field Foundation Models & Dynamics Foundation Models

Job description

Job responsibilities

• 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.

Job requirements

• Strong programming skills: Proficiency in Python and C++ for algorithm development and system integration.
• Proficiency in ROS (Robot Operating System): Experience developing and integrating robotic software solutions.
• Hands-On Robotics Experience: Practical experience working with autonomous robotic systems, including testing and deployment in the field.
• Understanding of Planning and Controls: Solid knowledge of path planning, control theory, and trajectory optimization.
• Ability and availability to travel: Ability and eagerness to travel to customer sites for deployments, testing, and troubleshooting (up to 30% travel).
• Excellent Communication Skills: Ability to convey complex technical concepts clearly to diverse audiences.
• Experience with GPU programming (CUDA C++, PyTorch) a significant plus.
• Experience with real-time systems or robotics middleware.
• Familiarity with sensor integration and perception algorithms.
• Knowledge of machine learning techniques applied to robotics.
• Exposure to industrial robotics applications in sectors like construction, mining, or manufacturing.
• Experience working in harsh or outdoor environments.
• Experience working with humanoid or legged robots.
• Advanced degree (Bachelors, Master’s) in Robotics, Computer Science, Electrical Engineering, or a related field.
• Understanding of safety standards and compliance in robotics.