Field Ai15mo ago

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

IrvineFull timemid

EngineeringData ScienceRobotics Engineer

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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,

Technical Tools

EngineeringData ScienceRobotics Engineer

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 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.

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.

Listing Details

Posted: January 24, 2025
First seen: March 26, 2026
Last seen: April 23, 2026

Posting Health

Days active: 28
Repost count: 0
Trust Level: 31%
Scored at: April 23, 2026

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Field Ai

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Field AI develops field-proven embodied artificial intelligence (AI) technology, specifically Field Foundation Models™ (FFMs), to enable robots to operate autonomously in complex, real-world environments across various industries.

Employees

Founded

2023

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Jobs

External application · ~5 min on Field Ai's site

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