1.51 Robotics Autonomy Engineer - Locomotion
Field AIMission Viejo, California, United States
Posted July 2, 2025
Full Time
About the Company
Field AI is at the forefront of developing advanced brain technology for robots to operate autonomously in challenging industrial environments. Their hardware-agnostic approach eliminates the need for GPS, maps, or pre-programmed routes, making it ideal for hazardous and off-road settings. This innovative solution empowers robots to navigate effectively in harsh conditions, offering a distinct edge in the industry.
Job Description
Field AI is building risk-aware, reliable, and field-ready AI systems for robotics, unlocking embodied intelligence. As a Robotics Autonomy Engineer – Locomotion, you’ll lead the development and deployment of reinforcement learning-based controllers for legged and humanoid robots, designing locomotion systems that can navigate complex, dynamic environments. This role involves designing RL-Based Locomotion Control Pipelines, developing and testing locomotion behaviors, owning simulation and evaluation environments, and collaborating across teams.
Requirements
- Master’s degree or higher in Robotics, Computer Science, Engineering, or related field (PhD a strong plus).
- Deep expertise in reinforcement learning, especially for continuous control tasks.
- 2+ years of experience developing and deploying locomotion policies for robotic systems.
- Proficiency with simulation tools such as Isaac Gym, Isaac Lab, MuJoCo, or PyBullet.
- Strong understanding of contact dynamics, control theory, and kinematics.
- Experience with legged and/or humanoid robots (quadrupeds, bipedal systems, or exoskeletons).
- Solid Python and/or C++ development skills in Linux-based environments.
- Familiarity with machine learning frameworks (PyTorch, TensorFlow).
Benefits
- Competitive salary
- Opportunity to work with a world-class team
- Be Part of the Next Robotics Revolution
- Celebrating diversity
