Lead Robotics Engineer (Multi-Robot & Swarm Systems)

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

Job summary

The Kerry Consulting PTE. LTD. is assisting a leading advanced technology and robotics organization in Singapore to recruit a Lead Robotics Engineer.

You will drive distributed multi-robot collaboration, swarm coordination, and decentralized planning for real-world autonomous platforms requiring collaborative decision-making. You will integrate ROS2-based architectures with sensors, simulation tools, and cloud connectivity, while guiding junior researchers and coordinating with AI, controls, and

Qualifications

• Master’s or PhD in Robotics, CS, EE, Mechatronics, or related field.
• Experience building multi-robot or swarm robotics systems.
• Strong understanding of distributed autonomous systems and coordination protocols.

Responsibilities

• Lead design and development of distributed multi-robot collaboration systems (task allocation, swarm coordination, decentralized planning).
• Develop ROS2-based architectures and integrate robotics hardware, sensors, and simulation environments.
• Build infrastructure for telemetry, visualization, debugging, and robot-to-cloud communication while validating on simulation and physical robots.
• Collaborate with robotics, AI, controls, and systems teams to deliver scalable MRS solutions and guide technical capabilities.

Skills

Python

C++

Distributed systems

Multi-robot coordination

Education

Master’s or PhD in Robotics or related field

Tools

ROS2

DDS

gRPC

Gazebo

Job description

Overview

A leading advanced technology and robotics organization is hiring a Lead Robotics 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

You will lead the design and development of distributed multi-robot collaboration systems, including task allocation, swarm coordination, decentralized planning, distributed data fusion, and inter-robot communication frameworks. The role involves building and optimizing real-time robotic autonomy stacks, contributing to ROS2-based architectures, and integrating robotics hardware, sensors, and simulation environments. You will also develop infrastructure for telemetry, visualization, debugging, and robot-to-cloud communication while validating solutions across both simulation and physical robotic platforms.

In addition, you will collaborate closely with robotics, AI, controls, and systems engineering teams to formulate scalable technical solutions aligned with customer and operational requirements. As a senior technical contributor, you will provide guidance on emerging technologies within swarm robotics and distributed autonomous systems, while helping to shape strategic technical capabilities and long-term R&D initiatives in the MRS domain.

Requirements

You should possess a Master’s or PhD in Robotics, Computer Science, Electrical Engineering, Mechatronics, or a related discipline, with strong experience developing multi-robot or swarm robotics systems. Deep understanding of distributed autonomous systems, multi-agent coordination, swarm intelligence, and decentralized interaction protocols is essential, including familiarity with concepts such as Contract Net Protocol, Petri Nets, Boids algorithms, or Particle Swarm Optimization. Candidates should also demonstrate strong foundations in robotics fundamentals including SLAM, localization, motion planning, distributed data fusion, and control systems.

Strong programming capabilities in Python and/or C++ are expected, together with experience working with ROS2, microservices, real-time systems, or distributed communication frameworks such as DDS or gRPC. Exposure to simulation tooling including Gazebo, Isaac Sim, Unity Robotics, or Webots will be advantageous. You should bring a strong systems-thinking mindset, comfort operating within research-to-production environments, and the ability to work independently while contributing within highly collaborative engineering and applied research teams.

License No: 16S8060 / Registration No: R26161178