Assistant Robotics Engineer / Robotics Engineer (Autonomous Mobile Robots)

MIND POINTEYE PTE. LTD.; Singapore; On-site; SGD 48,000 - 72,000; Full time

Job summary

Mind PointEye in Singapore is looking for an assistant-level robotics engineer to learn deploying, calibrating and maintaining autonomous mobile robots on indoor and outdoor sites. You will work with our senior robotics lead until you can run routine deployments independently.

Candidates with hands-on robotics troubleshooting, C/C++ and Python, and knowledge of ROS/Linux will fit well. There is room to progress to navigation development, system integration and algorithm optimization.

Qualifications

• Diploma or degree in robotics, mechatronics, electrical/electronic, mechanical, computer science or similar.
• 3–5 years in robotics, AMR/AGV, automation or field-service engineering; strong juniors welcome at Assistant level.
• Hands-on experience troubleshooting robots or automated equipment.
• Programming skills in C/C++ and Python.
• Working knowledge of ROS and Linux.
• Familiarity with LiDAR and/or vision, and machine learning for navigation.
• Singapore Citizens and PRs only.
• Good communication skills, resourceful and a team player.

Responsibilities

• Handle, deploy, calibrate and maintain autonomous mobile robots and their sensors (LiDAR, cameras, IMU, odometry), including charging, transport and basic troubleshooting
• Build, update, validate and manage versions of indoor and outdoor maps
• Tune navigation parameters and diagnose localisation and path-planning issues
• Run daily robot operations, monitor system health and log incidents
• Plan and run data-collection sessions; organise and label datasets
• Support integration and trial deployment of new system modules
• Write and maintain SOPs, checklists and runbooks
• Work with ROS/ROS2, Linux, SSH, remote-desktop tools (e.g. NoMachine) and Python or shell scripting; training on our setup is provided

Skills

C/C++

Python

ROS/ROS2

Linux

LiDAR

Vision

Machine learning for navigation

Communication skills

Field-service engineering

Education

Diploma or degree in robotics, mechatronics, electrical/electronic, mechanical, computer science or similar

Tools

ROS/ROS2

Linux

Job description

Company Overview

Mind PointEye (MPE) develops edge-AI, computer-vision and robotics solutions that let machines make real-time decisions on the device, without relying on the cloud. With teams in Singapore and China, MPE’s work spans AI algorithms, AI chips and intelligent products for ADAS, service robots and smart transport. Founded on research by Prof. Guang-Bin Huang, whose Extreme Learning Machine papers ranked #2 and #7 in Google Scholar’s 2017 Classic Papers list for Artificial Intelligence.

Job Summary

You will learn to deploy, calibrate, tune and operate autonomous mobile robots at indoor and outdoor sites, working alongside our senior robotics lead until you can run routine deployments on your own. Strong performers can progress to navigation development, system integration and algorithm optimisation.

Responsibilities

• Handle, deploy, calibrate and maintain autonomous mobile robots and their sensors (LiDAR, cameras, IMU, odometry), including charging, transport and basic troubleshooting


• Build, update, validate and manage versions of indoor and outdoor maps


• Tune navigation parameters and diagnose localisation and path-planning issues


• Run daily robot operations, monitor system health and log incidents


• Plan and run data-collection sessions; organise and label datasets


• Support integration and trial deployment of new system modules


• Write and maintain SOPs, checklists and runbooks


• Work with ROS/ROS2, Linux, SSH, remote-desktop tools (e.g. NoMachine) and Python or shell scripting; training on our setup is provided

Requirements

• Diploma or degree in robotics, mechatronics, electrical/electronic, mechanical, computer science or similar


• Preferably 3–5 years in robotics, AMR/AGV, automation or field-service engineering; strong juniors welcome at Assistant level


• Hands-on experience troubleshooting robots or automated equipment


• Programming skills in C/C++ and Python


• Working knowledge of ROS and Linux


• Familiarity with LiDAR and/or vision, and machine learning for navigation


• Good communication skills, resourceful and a team player


• Singapore Citizens and PRs only

Preferred

• SLAM and sensor-calibration experience


• Tuning navigation stacks such as Nav2 or move_base


• Clear technical writing


• Mandarin