Robotics AI Engineer – Field Foundation Models & Dynamics Foundation Models

Overview

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Are you driven by the challenge of building next-generation AI-powered robotics? Do you thrive at the intersection of advanced autonomy, real-world deployment, and AI-native decision-making? We are seeking a Robotics AI Engineer – Field Foundation Models & Dynamics Foundation Models to push the boundaries of risk-aware, self-evolving robotic intelligence. In this role, you will design, develop, and implement cutting-edge AI-driven planning and control architectures, ensuring our robots operate seamlessly in unstructured, high-stakes environments.

This is your opportunity to redefine the future of embodied AI, working alongside a world-class team that values bold innovation, hands-on execution, and AI-first engineering. If you re eager to build autonomy that adapts, learns, and makes decisions with intelligence beyond traditional models, we want to hear from you!

• 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.

• 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…