Embodied AI Engineer for Humanoid Robots (On-site)

HongYeGroup; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

On-site Singapore

Hands-on robotics projects

Real-world deployments

Job summary

HongYeGroup is building in-house embodied AI capabilities for humanoid robots and seeks a hands-on Embodied AI Engineer. You will develop, fine-tune, deploy, and validate intelligent behaviors on physical robots.

Own the end-to-end cycle from data collection and model training to real-robot deployment, testing, and continuous performance improvement in a startup-style environment. Collaboration across AI, robotics, hardware and operations is expected, with opportunities to publish and

Qualifications

• Master’s degree or above in Robotics, Computer Science, AI, Engineering, or related field.
• Hands-on experience with robotic systems and integration.
• Experience across AI, robotics, hardware, data collection, testing and operations.
• Knowledge of VLA models, imitation learning, RL, or diffusion policies.

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 analyse system failures, then improve performance through targeted data collection, model retraining, and iterative validation.
• Track key performance metrics, including task success rate, completion time, intervention rate, repeatability, and safety.

Skills

VLA models

Imitation learning

Reinforcement learning

Diffusion policies

Education

Master’s degree or above in Robotics, Computer Science, AI, Engineering, or related field

Tools

Cloud GPUs

Job description

HongYeGroup is building in-house embodied AI capabilities for humanoid robots and seeks a hands-on Embodied AI Engineer. You will develop, fine-tune, deploy, and validate intelligent behaviors on physical robots.

Own the end-to-end cycle from data collection and model training to real-robot deployment, testing, and continuous performance improvement in a startup-style environment. Collaboration across AI, robotics, hardware and operations is expected, with opportunities to publish and