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

FieldAI is transforming how robots interact with the real world by building advanced AI systems for robotics. The Robotics AI Engineer will design and implement AI-driven planning and control architectures to enhance robotic performance in complex environments.ResponsibilitiesDesign 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 environmentsReimagine 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 environmentsWork extensively with ROS (Robot Operating System) to develop, test, and integrate next-gen autonomous intelligence modulesDesign, implement, and test real-world and simulation-learning loops, where self-evolving models refine planning, control, and perception through real-world interactionConduct field tests to validate performance and optimize system behaviorCollaborate with hardware teams to ensure seamless software-hardware integrationTravel to customer sites to deploy, calibrate, and fine-tune robotic systems in diverse and challenging real-world conditionsWork closely with other engineering teams to align development efforts and achieve cohesive system performanceCommunicate effectively with non-technical stakeholders to explain robotic capabilities and project progressSkillsStrong programming skills: Proficiency in Python and C++ for algorithm development and system integrationProficiency in ROS (Robot Operating System): Experience developing and integrating robotic software solutionsHands-On Robotics Experience: Practical experience working with autonomous robotic systems, including testing and deployment in the fieldUnderstanding of Planning and Controls: Solid knowledge of path planning, control theory, and trajectory optimizationAbility 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 audiencesExperience with GPU programming (CUDA C++, PyTorch) a significant plusExperience with real-time systems or robotics middlewareFamiliarity with sensor integration and perception algorithmsKnowledge of machine learning techniques applied to roboticsExposure to industrial robotics applications in sectors like construction, mining, or manufacturingExperience working in harsh or outdoor environmentsExperience working with humanoid or legged robotsAdvanced degree (Bachelors, Master's) in Robotics, Computer Science, Electrical Engineering, or a related fieldUnderstanding of safety standards and compliance in roboticsCompany OverviewFieldAI is the general-purpose brain making robots autonomous in complex, risky, real-world environments. It was founded in 2023, and is headquartered in Mission Viejo, California, USA, with a workforce of 51-200 employees. Its website is https://www.fieldai.com.Company H1B SponsorshipFieldAI has a track record of offering H1B sponsorships, with 9 in 2025. Please note that this does not guarantee sponsorship for this specific role.



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