Embodied AI Robotics Engineer — Real-World Humanoids

HONG YE GROUP PTE. LTD.

Singapore

On-site

SGD 90,000 - 150,000

Full time

14 days+

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Job summary

HONG YE GROUP PTE. LTD. in Singapore seeks a hands-on Robotics Engineer to advance embodied AI on real humanoid robots.

You will develop, deploy, and validate intelligent behaviors, taking ideas from experiment to field deployment, across AI development, data collection, robot integration, and testing. The role offers broad ownership—from model training to physical-robot deployment and validation—across simulation and real-world environments, with emphasis on performance metrics and safe

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.
  • Willingness to work across AI, robotics, hardware, data collection, testing, and operations.
  • Hands-on experience with robotic systems, including integration, calibration, or teleoperation.

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

Robot learning
Imitation learning
Reinforcement learning
Diffusion policies
Hands-on robotics

Education

Master’s degree or above

Tools

ROS
GPU cloud infra

Job description

HONG YE GROUP PTE. LTD. in Singapore seeks a hands-on Robotics Engineer to advance embodied AI on real humanoid robots.

You will develop, deploy, and validate intelligent behaviors, taking ideas from experiment to field deployment, across AI development, data collection, robot integration, and testing. The role offers broad ownership—from model training to physical-robot deployment and validation—across simulation and real-world environments, with emphasis on performance metrics and safe

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