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Robotics Platform & AMR Assistant Engineer

Job in Singapore, Singapore
Listing for: QUIKBOT TECHNOLOGIES PTE. LTD.
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Robotics, Systems Engineer, Unix/Linux
Salary/Wage Range or Industry Benchmark: 90000 - 130000 SGD Yearly SGD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

About the Role

We are seeking a hands-on Robotics Platform & AMR Engineer to lead the integration, deployment, and field operation of Autonomous Mobile Robots (AMRs) across commercial and smart-building environments. This role bridges robotics software, hardware, networking, and physical infrastructure—connecting AMRs directly with lifts, automatic doors, and access control systems.

Key Responsibilities
  • Deployment & Commissioning:Execute site mapping, navigation routing, waypoint setup, and operational parameter configuration; conduct User Acceptance Testing (UAT) and deployment validation on-site.
  • Systems Integration:Interface multi-vendor AMR platforms with centralized orchestration middleware, IoT devices, and smart-building infrastructure (lifts, doors, turnstiles) via REST APIs, MQTT, and Web Sockets.
  • Software & Tooling:Utilize ROS/ROS2 within Linux (Ubuntu) environments to configure sensors, debug navigation modules, analyze system logs, and develop utility scripts in Python or C++.
  • Navigation & Fleet Diagnostics:Configure SLAM, LiDAR sensors, local/global path planning, and auto-docking; conduct systematic hardware, software, and TCP/IP network troubleshooting.
  • Operations & Documentation:Monitor active AMR fleet health, investigate field incidents, conduct preventive maintenance, and maintain deployment architecture, network logs, and user guides.
Candidate Requirements
  • Education:Diploma or Bachelor’s Degree in Robotics, Mechatronics, Electrical/Electronics, Computer Engineering, Computer Science, or Automation Engineering.
  • Core Technical Stack:ROS/ROS2, Linux (Ubuntu), Python, C/C++, REST APIs, Git, TCP/IP networking, and SLAM/LiDAR autonomous navigation principles.
  • Preferred Experience:Prior exposure to commercial AMRs/AGVs, fleet management software, or hardware protocols (CAN, Modbus, RS485, dry-contact relays). Fresh graduates with strong robotics projects or internship experience are welcome.
Key Competencies & Profile
  • Practical, field-oriented engineer comfortable working on-site with physical robot hardware.
  • Systematic troubleshooter able to isolate root causes across hardware, network, and software layers.
  • Clear communicator capable of bridging technical details between engineering teams and client stakeholders.
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