Swarm Engineer - Multi-Agent Task Planning

Swarmbotics AI • Scottsdale, AZ

3d • Onsite

About The Position

Swarmbotics is on the forefront of deploying unmanned ground vehicle (UGV) swarms for defense applications and is seeking a highly skilled Multi-Agent Engineer with Task Planning experience to join our dynamic team. This role is essential in designing, implementing, testing, and maintaining multi-agent algorithms that enable coordinated task execution among our unmanned ground vehicles. The ideal candidate will specialize in multi-agent coordination, task planning algorithms, and distributed decision-making, ensuring our robotic swarms can operate collaboratively and efficiently in complex, dynamic environments. The selected candidate will have the opportunity to build and refine a modern multi-agent system from the ground up and execute swarm algorithms on physical UGV swarms of unprecedented size and capability.

Requirements

• Multi-Agent Algorithm Development: Experience architecting and implementing multi-agent systems that enable coordinated task execution and decision-making among autonomous robotic platforms.
• Task Planning Algorithms: Expertise in developing and integrating task planning algorithms that optimize task allocation, scheduling, and execution for robotic swarms.
• Distributed Systems: Proficiency in designing and implementing distributed systems that facilitate reliable communication and coordination among multiple agents in real-time, particularly at scale.
• Implementation: Strong background in C++ or Python
• Fault Management: Experience in designing systems for fault detection, resolution, and recovery in multi-agent systems, enhancing overall system reliability.
• Performance Optimization: Expertise in optimizing task planning and multi-agent coordination algorithms for efficiency and scalability in large-scale deployments.
• Comfortable working in the high-paced, fluid environment of a tech startup.
• Excited to contribute to the defense of the United States and its allies.
• Able to obtain and hold a U.S. security clearance.
• Ability to work onsite in Phoenix, AZ area.

Nice To Haves

• Experience with unmanned ground vehicles or robotic swarms.
• Experience with popular robotic simulation tools for testing multi-agent behaviors.
• ROS2 Integration: Experience developing and integrating multi-agent and task planning systems within ROS2, ensuring seamless communication and operation across robotic subsystems.
• Proven track record of implementing multi-agent systems in real-world robotics applications.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed