Assistant Robotics Engineer / Robotics Engineer (Autonomous Mobile Robots)

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