Embodied AI Engineer - Deploy & Refine Humanoid Robots

YY CIRCLE (SG) PRIVATE LIMITED; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

YY CIRCLE (SG) PRIVATE LIMITED is seeking an Embodied AI Engineer to lead hands-on robot-learning initiatives for real-world humanoid robots. You will own the process from data collection through model training to deployment, validating AI behaviors in both simulation and on physical systems.

The role requires expertise in perception, planning, and decision-making, with a focus on embodied intelligence and robotics integration in a startup environment.

Qualifications

• Master’s degree or above in Robotics, Computer Science, AI, Engineering, or a related field.
• Good knowledge of VLA models, imitation learning, reinforcement learning, or diffusion policies.
• Hands-on experience with robotic systems, including integration, calibration, or teleoperation.
• Willingness to work across AI, robotics, hardware, data collection, testing, and operations.

Responsibilities

• Develop, integrate, and fine-tune robot foundation models for perception, mapping, task planning, and embodied decision-making.
• Own the development cycle from data collection and model training to physical-robot deployment and validation.
• Test and analyze system failures, then improve performance through targeted data collection, model retraining, and iterative validation in both simulation and real-world environments.
• Track key performance metrics, including task success rate, completion time, intervention rate, repeatability, and safety.

Skills

VLA models

Imitation learning

Reinforcement learning

Diffusion policies

Robotics integration

Teleoperation

Data collection

Education

Master's degree in Robotics/CS/AI/Engineering

Tools

Cloud-based GPU infrastructure

Robot simulation tools

Job description

YY CIRCLE (SG) PRIVATE LIMITED is seeking an Embodied AI Engineer to lead hands-on robot-learning initiatives for real-world humanoid robots. You will own the process from data collection through model training to deployment, validating AI behaviors in both simulation and on physical systems.

The role requires expertise in perception, planning, and decision-making, with a focus on embodied intelligence and robotics integration in a startup environment.