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
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.