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Open nowPosted 26 days ago

Physical AI Engineer (Multi-Robot & Swarm Systems)

MyCareersFuture94,028 open roles

Pay
SGD 9,000 – SGD 10,000 a month
Where
Singapore
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Your applicationOpen nowPhysical AI Engineer (Multi-Robot & Swarm Systems)MyCareersFuture · Singapore
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This job: posted 26 days ago

The posting

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.

Requirements:

  • Masters/PhD in Computer Science, Robotics, Mechatronics, Electrical Engineering, or related field.
  • Good 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.
  • 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).
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