Lead Multi-Robot Systems Engineer

Overview

A leading advanced technology and robotics organization is hiring a Lead Engineer to join its Singapore-based engineering team focused on Multi-Robot Systems (MRS) and swarm intelligence solutions. This role sits at the intersection of robotics, distributed systems, and AI, supporting the development of autonomous robotic platforms capable of collaborative decision-making and coordinated operations in dynamic real-world environments.

Responsibilities

Lead the technical development of multi-robot and swarm autonomy capabilities, covering coordination, task allocation, collaborative behaviors, distributed perception, and communication.

Architect and build software that enables multiple autonomous robots to exchange information, make decentralized decisions, and operate effectively as a coordinated system.

Develop and enhance robotics applications using ROS2, including the integration of sensors, hardware interfaces, autonomy components, and supporting infrastructure.

Evaluate and implement approaches across distributed data fusion, localization, SLAM, motion planning, and robotic control.

Prototype and test new concepts using simulation environments such as Isaac Sim, Gazebo/Ignition, Webots, or Unity Robotics, followed by validation on physical robotic platforms.

Translate application and customer requirements into practical technical architectures and engineering solutions.

Provide senior technical input on emerging developments in Multi-Robot Systems (MRS), swarm robotics, Physical AI, and autonomous systems.

Drive selected technical capability-building and R&D initiatives, exploring new applications and approaches for collaborative robotic systems.

Requirements

Master's degree or PhD in Computer Science, Electrical Engineering, or related discipline.

Strong hands-on background designing or developing multi-robot, multi-agent, or swarm robotic systems.

Deep understanding of distributed and decentralized robotic architectures, including Distributed Autonomous Systems, Multi-Agent Systems, and swarm-based approaches.

Knowledge of decentralized coordination and swarm techniques such as Contract Net Protocol (CNP), Petri nets, Boids, and Particle Swarm Optimization.

Solid robotics fundamentals spanning SLAM, localization, distributed data fusion, motion planning, and control systems.

Strong programming capability in C++ and/or Python, with practical exposure to robotics or real-time software development.

Experience with ROS2, microservices, distributed systems, or real-time architectures would be valuable, together with familiarity with technologies such as DDS, pub/sub messaging, or gRPC.

Exposure to Generative AI or Agentic AI frameworks and their application to intelligent or autonomous systems would be advantageous.

Comfortable moving between research, rapid prototyping, system-level debugging, simulation, and production-oriented engineering.

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