About the Role

We are looking for a Principal Physical AI Engineer with strong foundations in Multi-Robot System (MRS) and Physical AI to help build next-generation MRS/Swarm collaboration solutions. You will work on real-time distributed/decentralised robotic planning, coordination, perception, communication, and infrastructure that enables autonomous teams of robots to operate collectively in complex environments.

Responsibilities

·       Develop and maintain core multi-robot collaboration modules (multi-robot task allocation, distributed data fusion, swarm behaviours, inter-robot comms management etc.).

·       Integrate robotics hardware drivers, sensors, and simulation platforms (Gazebo/Ignition, Webots, Isaac Sim, etc.).

·       Design and optimize real-time data pipelines for robot-to-robot and robot-to-cloud messaging.

·       Contribute to ROS2 nodes, services, actions, and build robust MRS autonomy stacks.

·       Develop system tooling for visualization, debugging, logging, and telemetry.

·       Prototype in simulation and validate on physical robotic platforms.

·       Collaborate with cross-functional robotics engineers (controls, perception, systems, AI/planning).

·       Formulate the conceptual and detailed technical solution for the development of applications to meet customer requirements.

·       Provide recommendations on relevant emerging technology in MRS/Swarm to senior management.

·       Identifying and leading strategic technical capability development for MRS/Swarm.

·       Collaborate on research and development projects to explore new capabilities and applications for MRS/Swarm technology.

Minimum Requirements

·       Masters/PhD in Computer Science, Robotics, Mechatronics, Electrical Engineering, or related field.

·       10-15 years of experience building multi-robot or swarm systems.

·       Extensive knowledge Multi-Robot System Architecture like Distributed Autonomous Systems, Multi Agent System and Swarm etc.

·       Deep knowledge of decentralised interaction protocols and swarm algorithms like Contract Net Protocol (CNP), Petri nets, Boids algorithm and Particle Swarm Optimisation etc.

·       Familiarity with robotics fundamentals: Distributed Data Fusion, SLAM, localization, motion planning, control loops.

Preferred Requirements

·       Strong programming skills in Python and/or C++.

·       Experienced with Generative AI and/or Agentic AI frameworks.

·       Experienced with ROS2, microservices, or real-time systems.

·       Understanding of distributed systems or networking (pub/sub, DDS, gRPC, etc.).

·       Familiarity with simulation tooling (Gazebo, Isaac Sim, Webots, Unity robotics etc).

Additional Skills

·       Comfortable with rapid prototyping and research-to-production workflows.

·       Strong debugging and system-thinking mindset.

·       Able to work independently and in a collaborative applied research environment.

·       Curious, open to experimentation, and willing to push boundaries in autonomy.

What We Offer

·       Opportunity to work on cutting-edge multi-agent/swarm robotics systems with real-world deployment.

·       Exposure to both research-driven and practical engineering challenges.

·       Hands-on robotics testing, both simulation and physical platforms.

·       Flexible and innovation-friendly engineering culture.