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Swarmbotics AI

Swarmbotics AI

Posted on Nov 5, 2024
Company background

Swarmbotics AI is 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.

Stephen Houghton and Drew Watson are 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

Swarmbotics is seeking a highly skilled Full Stack Roboticist to develop cutting-edge autonomous ground vehicles for defense applications. This engineer will play a pivotal role in designing, implementing, and integrating complete robotic systems—including perception, planning, control, infrastructure, and hardware integration—that enable our vehicle swarms to navigate complex and unstructured off-road environments. You will work closely with company leadership to align robotic capabilities with Swarmbotics' product roadmap.

Required Qualifications

  • Comfort working in the high-paced, fluid environment of a tech startup
  • Experience in robotics system development, encompassing perception, planning, control, and hardware integration
  • Proven experience developing and integrating robotic software systems for autonomous navigation in off-road environments
  • Proficiency in programming languages such as C++
  • Experience with robotic middleware like ROS2
  • Strong understanding of sensor integration, including LIDAR, cameras, GPS, and IMUs
  • Experience with path planning algorithms, motion control, and vehicle kinematics/dynamics
  • Familiarity with machine learning techniques applied to robotics
  • Experience with hardware-in-the-loop simulation and testing
  • BS in Robotics or Computer Science
  • Excitement about contributing to the defense of the United States and its allies
  • Ability to obtain and hold a U.S. security clearance

Preferred Qualifications

  • MS or PhD in Robotics or Computer Science
  • Experience developing autonomous ground vehicle products
  • Experience with embedded systems and real-time computing
  • Knowledge of system architecture design and software engineering best practices
  • Ability to relocate to the Phoenix, AZ area

The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law.

The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law.

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