Swarm Engineer, Multi-Agent Task

Recruiting from Scratch
US - Arizona - Prescott
November 17, 2024

Who is Recruiting from Scratch:

Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.

About Us

We are on the forefront of deploying unmanned ground vehicle (UGV) swarms for defense applications and are 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.

Required qualifications

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.

Preferred qualifications

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.

Compensation:
$120-150k base + equity

Read the full job description and apply online on the recuiter's web-site

Related Job Postings

Physical Therapist - Orthopaedic Institute

Integrity Rehab Group

US - AZ - AZ - Tucson
November 14, 2024

Integrity Rehab Group is an industry leading therapy management company that partners with physician practices across the nation. In partnering with Tucson Orthopaedic Institute we have become a preferred outpatient orthopedic therapy service provider to the North Tucson, AZ community. To further...

Find Jobs Hiring Now Near You!

Get Jobilize Job Search Mobile App Now