Mobile Manipulation Engineer for Industrial Robotics & Open‑RMF

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

Job summary

Intrinsic, an AI robotics group at Google, seeks a Mobile Manipulation Engineer in Singapore to design, develop and deploy robotic automation solutions using mobile manipulation platforms. You will set up industrial environments for large-scale automation in simulation, hardware labs, and production, and extend Open‑RMF with mobile capabilities.

You will work across teams to integrate mobile manipulators into smart production and industrial applications and contribute to research and open-source

Qualifications

• Bachelor’s or Master’s degree in Computer Science, or Robotics, or equivalent practical experience.
• Familiarity with modern programming practices in C++ and Python.
• Experience programming and working with industrial manipulators and mobile robots, in hardware and simulation.
• Familiarity with whole body motion planning.
• Demonstrable understanding of motion planning in the field of manipulation and mobile robotics.

Responsibilities

• Examine challenging industrial applications and environments to identify automation solutions using mobile manipulation.
• Provide and maintain an integration reference for mobile manipulation operations for the Open‑RMF open source community.
• Collaborate across teams to integrate mobile manipulators into smart production and industrial applications.

Skills

C++

Python

Mobile manipulation

Motion planning

Kinematics

Education

Bachelor's or Master's in CS/Robotics

Tools

Open-RMF

MoveIt2

Nav2

Rust

Job description

Intrinsic, an AI robotics group at Google, seeks a Mobile Manipulation Engineer in Singapore to design, develop and deploy robotic automation solutions using mobile manipulation platforms. You will set up industrial environments for large-scale automation in simulation, hardware labs, and production, and extend Open‑RMF with mobile capabilities.

You will work across teams to integrate mobile manipulators into smart production and industrial applications and contribute to research and open-source