Lead Physical AI Engineer (Robotics)

Kerry Consulting; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

Kerry Consulting is hiring a Lead Physical AI Engineer to join a dynamic Singapore-based team. This role involves leading the development of advanced multi-robot systems and swarm intelligence solutions, significantly contributing to robotic autonomy stacks and collaborative decision-making frameworks.

The ideal candidate should possess strong programming skills in Python and C++, along with a Master’s or PhD in relevant fields. Familiarity with ROS2 and concepts like distributed systems is essential, and you’ll work closely with interdisciplinary teams to drive R&D initiatives.

Qualifications

• Master’s or PhD in Robotics, Computer Science, Electrical Engineering or Mechatronics.
• Experience in developing multi-robot or swarm robotics systems.
• Deep knowledge of distributed autonomous systems and swarm intelligence.

Responsibilities

• Lead the design and development of multi-robot collaboration systems.
• Build and optimize real-time robotic autonomy stacks.
• Collaborate with AI and systems engineering teams on scalable solutions.

Skills

Programming in Python

Programming in C++

Multi-agent coordination

Distributed systems

Swarm intelligence

ROS2

Education

Master’s or PhD in Robotics or related discipline

Tools

ROS2

Gazebo

Unity Robotics

Webots

Job description

Overview

A leading advanced technology and robotics organization is hiring a Lead Physical AI 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.