Company background

We are a low-cost, swarm robotics company for industry and defense. We see a world of ubiquitous low-cost robots transforming almost all aspects of society, but we see an urgent need in the defense industry. We focus on building swarms of robots that incorporate a low-cost BOM, an autonomous stack optimized for off the shelf components, and a global planner that enables swarm capabilities for groups of robots to accomplish sophisticated tasks.

Our first product is a defense application building Unmanned Ground Vehicles (UGVs), collectively termed - Attritable, Networked, Tactical Swarm (ANTS). Each UGV in ANTS is an independently-tasked, attritable robot designed for on-demand and autonomous mobility. When operating as a swarm, ANTS is capable of executing more advanced and coordinated, high-level capabilities across a battlespace. ANTS will help solve some of the DoD’s biggest problems that will save lives and increase defense capabilities.

The Founders and have decades of experience in self-driving cars and trucks, humanoids, and UAVs with experience from NASA, JPL, Cruise, Embark, McKinsey, Amazon, and the CIA.

Position description

We are on the forefront of deploying unmanned ground vehicle (UGV) swarms for defense applications. We are seeking an engineer specializing in multi-agent, cooperative autonomy, with deep expertise in designing, implementing, and optimizing behaviors and interactions within robotic swarms. This engineer will be instrumental in developing the core algorithms that enable coordinated, efficient, and intelligent behaviors.

Required qualifications

• Experience in multi-agent systems or swarm robotics.
• Knowledge of algorithmic or RL-based approaches for cooperative behavior, task allocation, collective decision-making, and swarm intelligence.
• Strong programming skills in Python or C .
• Experience with simulation and real-world testing of multi-agent or swarm robotic systems.
• Ability to work in a fast-paced, startup environment.
• Eligibility for U.S. security clearance.
• ​​​​​​​Ability to work onsite in Phoenix, AZ area.

Preferred qualifications

• Advanced degree (MS, PhD) in Robotics, Computer Science, Electrical Engineering, or related field.
• Proficiency in ROS2.
• Contributions to published research and development in multi-agent systems or swarm robotics.
• Experience with advanced research in machine learning techniques for robotic swarms.
• Real-world deployment experience of robotic swarms in operational environments.
• Experience in hardware-software co-design for robotic systems, especially for autonomy and sensor integration.

Compensation:

• Competitive salary: $150,000 - $160,000
• Equity grant
• Full health benefits