Principal Physical AI Engineer (Multi-Robot & Swarm Systems)

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.