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

St Engineering; Singapore; On-site; SGD 180,000 - 240,000; Full time

Benefits offered by this job

Cutting-edge projects

Hands-on testing

Flexible culture

Job summary

Singapore Technologies Engineering Ltd is seeking a Principal Physical AI Engineer focused on Multi-Robot & Swarm Systems to advance real-time planning, coordination, perception, and infrastructure for autonomous robot teams in complex environments.

The role involves developing MRS modules, integrating sensors and simulators, and collaborating across controls, perception, and AI/planning teams to deliver production-ready autonomy stacks.

Qualifications

• Master's or PhD in CS, Robotics, Mechatronics, EE or related field.
• 10-15 years of experience building multi-robot or swarm systems.
• Deep knowledge of distributed autonomous systems and swarm algorithms.
• Familiarity with SLAM, localization, planning, and control loops.

Responsibilities

• Develop and maintain multi-robot collaboration modules.
• Integrate 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 MRS stacks.
• Prototype in simulation and validate on physical robots.
• Collaborate with cross-functional robotics engineers.
• Define technical solutions to meet customer requirements.
• Advise on emerging MRS/Swarm technologies.
• Lead strategic capability development for MRS/Swarm.
• Collaborate on R&D projects for new capabilities.

Skills

Python/C++

ROS2

Distributed systems

Prototyping

Education

Masters/PhD in CS/Robotics/Mechatronics/EE

Tools

Gazebo

Ignition

Webots

Isaac Sim

ROS2 tooling

Job description

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Job Alerts Link Job Description Job Title: Principal Physical AI Engineer (Multi-Robot & Swarm Systems) Req ID: 20801 Job Location Region: West

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.

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