Robotics AI Software Engineer Intern

KARCHER ROBOTICS SINGAPORE PTE. LTD.; Singapore; On-site; SGD 20,000 - 33,000; Full time

Job summary

KARCHER ROBOTICS SINGAPORE PTE. LTD. is seeking a Robotics AI Software Engineer Intern in Singapore to contribute to autonomous robot software. You will work on ROS2, autonomous navigation, AI-enabled perception, sensor fusion, and robot integration, with exposure to simulation and real deployments.

You will gain hands-on experience developing software for autonomous robots, collaborating with robotics engineers, and contributing to production-grade systems on real hardware platforms.

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in robotics, CS, EE, mechatronics or related field.
• Strong programming experience in C++ or Python.
• Familiarity with Linux/Ubuntu and ROS/ROS2 is a strong plus.

Responsibilities

• Develop and improve software modules for autonomous robotic systems.
• Work on components such as mission execution and robot behaviors.
• Assist autonomous navigation workflows and route planning.
• Develop docking and recovery behaviors, and task logic.
• Interface onboard software with HMI and higher-level applications.
• Explore AI-enabled scene understanding and data pipelines.
• Test algorithms in Gazebo or Isaac Sim simulations.
• Support debugging, validation, and performance analysis on real robots.
• Collaborate with software, hardware, and systems engineers.

Skills

C++

Python

ROS/ROS2

Linux/Ubuntu

Git

Docker

CMake

Gazebo

Isaac Sim

OpenCV

Nav2

PyTorch

Education

Bachelor’s or Master’s degree in Robotics/CS/EE/Mechatronics

Tools

ROS/ROS2

Gazebo

Isaac Sim

Job description

About the Role

We are looking for a talented Robotics AI Software Engineer Intern to join our robotics software engineering team in Singapore. You will contribute to the development of software systems powering autonomous robots used in real-world environments.

The internship provides hands‑on experience working on modern robotics technologies including ROS2, autonomous navigation, AI-enabled perception, sensor fusion, and robot system integration. You will collaborate with experienced robotics engineers and gain exposure to both simulation and real robot deployments.

Responsibilities

• Develop and improve software modules for autonomous robotic systems.
• Work on robotics components such as:
  • mission execution and robot behaviors
  • autonomous navigation workflows
  • docking and recovery behaviors
  • route execution and task logic
  • interfaces between onboard robot software and HMI / higher‑level applications
  • AI-enabled scene understanding
  • data pipelines for robotics logs / sensor data
  • evaluation of AI learning‑based perception or behavior modules
• Work with ROS2-based robotics systems and contribute to software integration across multiple subsystems.
• Assist in the development and customization of autonomous navigation‑related components such as:
  • behavior trees
  • route / planner integrations
  • recovery behaviors
  • robot control and motion execution workflows
• Develop and test algorithms in simulation environments (e.g., Gazebo, Isaac Sim).
• Support debugging, validation, and performance analysis through logs, testing, and field trials on real robots.
• Collaborate with software, hardware, and systems engineers to deliver reliable robotic functionality.

Requirements

Education

• Currently pursuing a Bachelor’s or Master’s degree in:
  • Robotics
  • Computer Science
  • Electrical Engineering
  • Mechanical Engineering
  • Mechatronics
  • or a related field

Technical Skills (Preferred)

• Strong programming experience in C++ or Python
• Familiarity with Linux / Ubuntu
• Basic understanding of robotics concepts such as:
  • kinematics
  • motion planning
  • perception
  • control
  • behavior trees / state machines
• Experience or coursework in ROS / ROS2 is a strong plus
• Familiarity with sensors such as LiDAR, cameras, IMU, or GPS
• Experience with Git, Docker, CMake
• Exposure to simulation tools such as Gazebo, Isaac Sim
• Exposure to computer vision, machine learning, or AI for robotics is a plus

Bonus Experience (Nice to Have)

• ROS2 package development
• Computer vision or machine learning
• SLAM or localization algorithms
• Autonomous navigation frameworks (e.g., Nav2)
• Experience with PyTorch, OpenCV, or model inference pipelines
• Robotics competitions, research projects, or personal robotics / AI projects

What You Will Gain

• Real-world experience developing software for autonomous robots
• Exposure to modern robotics frameworks including ROS2, Nav2 and autonomous navigation systems
• Opportunity to work with real hardware platforms and large robotic systems
• Exposure to AI-enabled perception and autonomy workflows in robotics
• Mentorship from experienced robotics engineers
• Experience contributing to production‑grade robotics software systems