Senior Robotics System Engineer (AMR)

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

DADACONSULTANTS PTE. LTD. in Singapore seeks a seasoned Robotics Systems Engineer to own the AMR platform from concept to mass deployment. You will design real-time control software, integrate sensors with ROS2, and lead hardware/software integration across a fast-paced robotics program, with opportunities to grow into leadership as the platform scales.

The role requires strong experience in ROS/ROS2, SLAM, localization, and cross-functional collaboration to meet ambitious product milestones.

Qualifications

• 5+ years in robotics system engineering with 3+ years in AMR/AGV deployment
• Proficient in C++ and Python, ROS/ROS2, real-time control, SLAM, path planning, and localization
• Experience with hardware/electrical integration and on-site troubleshooting
• Ability to take ownership of complex, end-to-end technical projects in a fast-paced startup environment with leadership potential

Responsibilities

• Own lifecycle of AMR platform from proof-of-concept to deployment
• Design and optimise control software for real-time dispatch and air-ground coordination
• Integrate sensors (LiDAR, depth cameras, IMUs) using ROS2 Nav2 Stack
• Develop SLAM, path planning, and localisation pipelines
• Lead hardware and electrical integration, including power design and mass-production readiness
• Manage on-site commissioning, troubleshooting, and performance tuning
• Establish engineering standards, documentation, and processes for a growing robotics team
• Collaborate with hardware, software, and operations to align deliverables with milestones

Skills

Robotics systems engineering

AMR/AGV development

C++

Python

ROS/ROS2

SLAM & localization

Real-time control

Hardware integration

Tools

ROS2

OpenCV

Job description

About the Role

Our client is an innovative technology company developing AI-powered solutions for retail and warehouse automation, with a flagship initiative centred on coordinating ground-based robotic platforms with aerial drone payloads. They are building a brand-new Autonomous Mobile Robot (AMR) platform from the ground up, and this role sits at the very heart of that effort. As the founding technical pillar of a greenfield robotics programme, the successful candidate will own the full product lifecycle - from proof-of-concept through to commercial mass deployment. This is a rare opportunity to shape an entire robotics division and grow naturally into a leadership role as the platform scales.

Key Responsibilities

• Own the full lifecycle of the AMR platform, driving development from initial proof-of-concept and prototyping through to large-scale deployment in complex retail and warehouse environments
• Design and optimise control software to manage real-time dispatch and communication between the ground-based AMR unit and its onboard drone payload, as part of an air-ground coordination architecture
• Integrate multi-sensor systems - including LiDAR, depth cameras, and IMUs - using ROS2 (Nav2 Stack) for both differential and omnidirectional drive configurations
• Develop and validate SLAM, path planning, and localisation pipelines to ensure reliable autonomous navigation in dynamic, real-world environments
• Lead hardware and electrical integration efforts, including power distribution design, wiring schematics, chassis vendor engagement, and mass-production readiness
• Manage on-site commissioning, system troubleshooting, and performance tuning across deployment environments
• Establish engineering standards, documentation, and processes that lay the groundwork for a growing robotics team
• Collaborate cross-functionally with hardware, software, and operations stakeholders to align technical deliverables with product and business milestones

Requirements

• At least 5 years of experience in robotics system engineering, with a minimum of 3 years dedicated to AMR or AGV development , including a proven track record of commercial or industrial deployment
• Strong software proficiency in C++ and Python , with hands-on expertise in ROS/ROS2, real-time control systems, SLAM, path planning, and localisation
• Practical experience with mechanical and electrical integration, including power systems, sensor fusion, and on-site hardware troubleshooting
• Demonstrated ability to take ownership of complex, end-to-end technical projects in a fast-paced or startup environment, with an appetite for growing into a team leadership capacity
• Experience with OpenCV and industrial machine vision (is a bonus)
• Background in multi-robot or heterogeneous system coordination (e.g. ground-aerial platforms) (is a bonus)