Robotics Engineer Intern - Embodied AI

HongYeGroup

Singapore

On-site

SGD 13,392 - 20,088

Full time

14 days+

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Job summary

HongYeGroup in Singapore is seeking an Embodied AI Engineer Intern to contribute to developing and validating intelligent behaviors on humanoid robots. You will help with perception, decision-making, and deployment across real-world tasks, from data collection to model validation.

The role offers hands-on work with physical robots, robotics software and hardware integration, ROS/ROS2, Python, and C++. You will gain end-to-end experience in learning, simulation, and field testing within a

Qualifications

  • Willingness to work directly with physical robots.
  • Currently pursuing a degree in Robotics, Electrical Engineering, Computer Science, or related field.
  • Strong interest in robotics and embodied AI.
  • Proficiency in Python; experience with C++ is an advantage.
  • Familiarity with ROS or ROS 2.

Responsibilities

  • Assist in developing and testing robot foundation models for perception, mapping, task planning, and embodied decision-making.
  • Support data collection, experiment setup, and performance evaluation.
  • Run field tests, collect datasets, and perform benchmarking.

Skills

Python
C++
ROS/ROS2
Robotics

Education

Pursuing degree in Robotics, Electrical Engineering, Computer Science

Tools

ROS/ROS2

Job description

About The Role

We are developing in-house humanoid robotics capabilities that enable robots to perceive, reason, and act autonomously in real-world service and operational environments. As an Embodied AI Engineer Intern, you will play a hands‑on role in supporting the development, fine‑tuning, deployment, and validation of intelligent behaviors on physical humanoid robots. This internship offers comprehensive exposure to the entire development pipeline, including data collection, model training, robot integration, simulation, real-world testing, and failure analysis.

What You Will Do
  • Assist in developing and testing robot foundation models for perception, mapping, task planning, and embodied decision-making.
  • Support data collection, experiment setup, and performance evaluation.
  • Run field tests, collect datasets, and perform benchmarking.
Requirements
  • Willingness to work directly with physical robots and contribute across both software and hardware tasks.
  • Currently pursuing a degree in Robotics, Electrical Engineering, Computer Science, or a related field.
  • Strong interest in robotics and embodied AI.
  • Proficiency in Python; experience with C++ is an advantage.
  • Familiarity with ROS or ROS 2.
What We Offer
  • The opportunity to work directly on embodied AI models and deploy them on physical humanoid robots.
  • Hands‑on exposure to robot learning, simulation, data collection, system integration, and real-world testing.
  • Be part of a team building embodied AI that operates in real-world environments.
Work Type
  • Full-time | On-site
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