AMR Robotics Software Engineer - Leading AI solutions firm (AMR/Smart retail/ROS/AGV)

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 120,000 - 165,000; Full time

Job summary

DADACONSULTANTS PTE. LTD. is seeking a founding robotics engineer to own an AMR mobile base from proof-of-concept to commercial deployment in complex indoor warehouses. You will shape the technical foundation for a category-defining product and grow into leading a robotics engineering team as the project scales.

The role requires deep expertise in C++, Python, ROS/ROS2, and SLAM, plus hands-on hardware integration, real-time control, and cross-vendor collaboration in a fast-paced environment.

Qualifications

• Bachelor's or Master's in Robotics/Engineering or related field.
• Minimum 3 years in robotics system development with AMR/AGV focus.
• Expert C++ and Python with ROS/ROS2 and real-time control.
• Experience in hardware/software integration and on-site commissioning.

Responsibilities

• Own the full lifecycle of the AMR mobile base from prototype to deployment.
• Develop control software for communication between base and onboard payload.
• Define drive system requirements and integrate navigation sensors with ROS2 Nav2.
• Lead hardware integration including power, wiring, and safety systems.
• Manage supply chain and documentation for mass production.
• Conduct rigorous testing in simulated and real warehouse environments.
• Bridge navigation software with hardware, sensor systems, and drone team.

Skills

C++

Python

ROS/ROS2

SLAM

Path planning

Localization

Hardware integration

Vendor collaboration

Education

Bachelor's or Master's degree in Robotics/Engineering

Tools

ROS2 NavStack

OpenCV

Job description

About the Role

Our client is a tech startup developing innovative AI driven solutions for retail industry, with an established drone division and an exciting new ground robotics initiative. This is a founding technical role on a greenfield project - you will have full end-to-end ownership of an Autonomous Mobile Robot (AMR) mobile base platform, from initial proof-of-concept through to commercial-scale deployment in complex indoor logistics environments. As the product scales, this role carries a natural growth path into building and leading a dedicated robotics engineering team. If you thrive in a 0-to-1 environment and want to shape the technical foundation of a category-defining product, this is a rare opportunity.

Key Responsibilities

• Own the full development lifecycle of the AMR mobile base system - from early prototyping and POC through to large-scale commercial deployment in demanding indoor warehouse settings
• Develop and optimise control software to manage communication and coordination between the ground mobile base and an onboard aerial payload, ensuring reliable command execution and seamless multi-platform collaboration
• Define drive system requirements (differential or omnidirectional) and lead the integration and tuning of navigation sensors (LiDAR, depth cameras, IMU) with the ROS2 Navigation Stack (Nav2)
• Lead hardware integration of the mobile base, including the design of power distribution architectures, electrical wiring schematics, and appropriate safety systems
• Drive the transition from prototype to commercial mass production; manage the supply chain for off-the-shelf and open-source chassis components, qualify vendors, and produce manufacturing and integration documentation
• Conduct rigorous stress testing and performance optimisation across both simulated and real-world warehouse environments to ensure high uptime and reliability in commercial operations
• Serve as the technical bridge between navigation software, hardware chassis, electrical design, sensor systems, and the existing drone engineering team

Requirements

• Bachelor's or Master's degree in Robotics, Mechatronics, Electrical Engineering, Computer Science, or a closely related discipline
• Minimum 3 years of experience in robotics system development, with at least 3 years specifically focused on AMR or AGV platforms; a proven track record of successfully deploying robotic systems in commercial or industrial environments is essential
• Expert-level proficiency in modern C++ and Python , with deep hands‑on experience in the ROS/ROS2 framework and real‑time control systems; extensive practical experience with SLAM, path planning, and localisation algorithms is required
• Demonstrated success in hardware and system integration across mechanical assemblies, actuators, sensors, and power systems, including on‑site commissioning and hardware/software troubleshooting
• Proven ability to collaborate across multiple technology vendors and cross‑functional engineering teams in a fast‑paced, interdisciplinary environment
• Experience with OpenCV and industrial vision systems (is a bonus)