Physical AI Engineer (Multi-Robot & Swarm Systems)

ENGGSOL PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

ENGGSOL PTE. LTD. seeks a Principal Physical AI Engineer to advance next-gen MRS/Swarm collaboration solutions. You will drive real-time distributed planning, coordination, and perception for autonomous robot teams in complex environments.

Lead development of ROS2-based autonomy stacks, data pipelines, and simulation-to-physical validation across Gazebo, Webots, and Isaac Sim. Collaborate with cross-functional robotics teams and shape customer-centric MRS capabilities.

Qualifications

• Master's or PhD in Computer Science, Robotics, Mechatronics, Electrical Engineering, or related field.
• Experience building multi-robot or swarm systems.
• Deep knowledge of distributed architectures for multi-agent/swarm systems.
• Strong programming in Python and/or C++.
• Familiarity with ROS2, microservices, or real-time systems.
• Familiarity with simulation tools Gazebo/Ignition, Webots, Isaac Sim.
• Understanding of distributed data fusion, SLAM, localization and planning.
• Experience with AI frameworks (generative/agentic).
• Knowledge of pub/sub, DDS, gRPC.
• Collaborating across teams on complex robotics projects.

Responsibilities

• Develop and maintain multi-robot collaboration modules including task allocation and data fusion.
• Integrate robotics hardware drivers, sensors, and simulators.
• Design real-time data pipelines for robot-to-robot and robot-to-cloud messaging.
• Contribute to ROS2 nodes, services, actions, and autonomy stacks.
• Develop tooling for visualization, debugging, logging, and telemetry.
• Prototype in simulation and validate on physical robots.
• Collaborate with controls, perception, systems and AI/planning teams.
• Formulate technical solutions to meet customer requirements.
• Provide recommendations on MRS/Swarm tech to senior management.
• Lead strategic capability development for MRS/Swarm.
• Collaborate on R&D projects to explore new capabilities.

Skills

Python & C++ programming

Multi-Robot Systems

ROS2

Distributed systems & networking

Education

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

Tools

Gazebo/Ignition

Webots

Isaac Sim

Unity robotics

DDS

Job description

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).