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1.5 Robotics AI Engineer - Field Foundation Models & Dynamics Foundation Models
1.5 Robotics AI Engineer - Field Foundation Models & Dynamics Foundation ModelsFieldAI • Irvine, CA, US
1.5 Robotics AI Engineer - Field Foundation Models & Dynamics Foundation Models

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

FieldAI • Irvine, CA, US
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Join to apply for the 1.5 Robotics AI Engineer – Field Foundation Models & Dynamics Foundation Models role at FieldAI

Field AI is transforming how robots interact with the real world. We build risk-aware, reliable, field-ready AI systems that address complex robotics challenges and unlock embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, with globally deployed solutions and continually improving models through real-field applications.

Are you driven to build next-generation AI-powered robotics? We seek a Robotics AI Engineer – Field Foundation Models & Dynamics Foundation Models to advance risk-aware, self-evolving robotic intelligence. You will design, develop, and implement cutting-edge AI-driven planning and control architectures so our robots operate in unstructured, high-stakes environments. This is your opportunity to redefine the future of embodied AI, collaborating with a world-class team that values bold innovation, hands-on execution, and AI-first engineering.

What You Will Get To Do

  • 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 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

What You Have

  • Strong programming skills : Proficiency in Python and C++ for algorithm development and system integration
  • Proficiency in ROS : Experience developing and integrating robotic software solutions
  • Hands-on robotics experience : Practical experience with autonomous robotic systems, including field testing and deployment
  • Understanding of planning and controls : Solid knowledge of path planning, control theory, and trajectory optimization
  • Ability and willingness to travel : Travel to customer sites for deployments, testing, and troubleshooting (up to 30%)
  • Excellent communication skills : Ability to convey complex technical concepts clearly to diverse audiences
  • What Will Set You Apart

  • 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 (Bachelor's, Master's) in Robotics, Computer Science, Electrical Engineering, or a related field
  • Understanding of safety standards and compliance in robotics
  • Compensation and Benefits

    Our salary range is generous ($70,000 - $200,000 annual), with final pay based on background and experience. We consider location, knowledge, skills, and experience. Hybrid or remote options may be explored.

    Why Join Field AI?

    We're solving one of the world's most complex challenges : deploying robots in unstructured environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, with an emphasis on explainability and safe deployment.

    You will work with a world-class team that values creativity, resilience, and bold thinking. With a track record of field deployments and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, we are positioned to achieve ambitious goals.

    Be Part of the Next Robotics Revolution

    We seek innovators who challenge the status quo, explore uncharted territory, and bring interdisciplinary expertise. Our team includes top AI talent, software developers, engineers, product designers, field deployment experts, and communicators.

    We are headquartered in Mission Viejo (Irvine-adjacent), Southern California, with US-based and global teammates.

    Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!

    We celebrate diversity and are committed to an inclusive environment. We evaluate candidates based on merit, qualifications, and performance. We do not discriminate on race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

    Seniority level

  • Not Applicable
  • Employment type

  • Full-time
  • Job function

  • Engineering and Information Technology
  • Referrals increase your chances of interviewing at FieldAI.

    Irvine, CA | Salary varies by location and experience

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