FieldAI · 13 hours ago
1.51 Robotics Autonomy Engineer - Locomotion
Irvine, CA
Full-time
Onsite
Mid, Senior Level
$70K/yr - $300K/yr
2+ years expField AI is transforming how robots interact with the real world, focusing on developing intelligent, adaptable robotic systems. As a Robotics Autonomy Engineer – Locomotion, you will lead the development and deployment of reinforcement learning-based controllers for legged and humanoid robots, working within a technical team to enhance robotic capabilities in real-world applications.
Enterprise SoftwareRoboticsRobotic Process Automation (RPA)
Responsibilities
Design and Own RL-Based Locomotion Pipelines
Architect and implement scalable reinforcement learning (RL) pipelines optimized for locomotion and manipulation
Integrate physics-based simulation environments (Isaac Gym, Isaac Lab, MuJoCo) with custom training workflows
Develop reward functions, policy architectures, and domain randomization strategies that close the sim-to-real gap
Deploy Locomotion Behaviors on Physical Robots
Create agile, robust locomotion behaviors for quadruped and humanoid platforms, and validate them on real hardware
Solve real-world challenges in balance, contact-rich dynamics, high-DOF coordination, and terrain variability
Drive iterative testing across terrain variability and unstructured environments
Build and Scale Simulation Infrastructure
Build scalable training environments using GPU-accelerated simulators
Automate evaluation across domain-randomized scenarios and domain adaptation protocols
Maintain simulation infrastructure that enables rapid prototyping, validation, and reproducibility
Collaborate Across the Full Robotics Stack
Work closely with systems engineers, perception experts, and embedded teams to close the loop between learning and execution
Incorporate real-world telemetry and field data to continuously improve model generalization
Lead deployment workflows from experiment through lab testing to field robot validation
Qualification
Required
Master's degree or higher in Robotics, Computer Science, Engineering, or related field (PhD strongly preferred)
Deep expertise in reinforcement learning for continuous control
2+ years of experience developing and deploying locomotion policies on real robotic systems
Hands-on experience with legged robot platforms (quadrupeds, bipedal systems, or exoskeletons)
Proficiency with simulation tools such as Isaac Gym, Isaac Lab, MuJoCo, or PyBullet
Strong command of sim-to-real transfer — domain randomization, system identification, adaptive methods, and a track record of bridging the gap successfully
Solid understanding of contact dynamics, control theory, and kinematics
Strong Python and/or C++ development skills in Linux-based development environments
Familiarity with machine learning frameworks (PyTorch, TensorFlow)
A passion for building things that move in the real world
Preferred
3+ years of experience in an industry or startup robotics setting
Experience deploying neural network controllers on resource-constrained robotic platforms (real-time inference, onboard compute)
Publications or open-source contributions in locomotion, RL, or control
Familiarity with ROS/ROS2 or custom middleware for real-time control
Background in manipulation, loco-manipulation, or whole-body coordination
Experience debugging sim-to-real issues at scale
Contributions to reinforcement learning libraries or simulation platforms
Prior work on multi-agent learning or terrain-adaptive control systems
Company
FieldAI
FieldAI is the general-purpose brain making robots autonomous in complex, risky, real-world environments.
11-50 employees
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
$405MKey Investors
Bezos Expeditions,Prysm Capital,Temasek Holdings
2025-08-20Series Unknown· $91M
2025-08-20Series A· $314M
Leadership Team
Ali Agha
Founder and CEO
Recent News
Crunchbase News
2025-12-19
2025-10-16
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