FieldAI · 3 hours ago
1.5 Robotics AI Engineer – Field Foundation Models & Dynamics Foundation Models
FieldAI is transforming how robots interact with the real world by building risk-aware, reliable AI systems. The Robotics AI Engineer will design and implement AI-driven planning and control architectures for autonomous robots operating in complex environments.
Enterprise SoftwareRobotic Process Automation (RPA)Robotics
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
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 performance
Communicate effectively with non-technical stakeholders to explain robotic capabilities and project progress
Qualification
Required
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
Preferred
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
Company
FieldAI
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.
H1B Sponsorship
FieldAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
Funding
Current Stage
Early StageTotal Funding
$405M2025-08-20Series Unknown· $91M
2025-08-20Series A· $314M
Recent News
Crunchbase News
2025-12-19
2025-10-16
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