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.

To apply, please apply directly or submit your resume to Claudia at [HIDDEN TEXT]. We regret that only shortlisted candidates will be notified.
License No: 16S8060 / Registration No: R26161178

Lead Physical AI Engineer (Robotics)