Full Stack Robotics Engineer

5 days ago


Scottsdale, Arizona, United States Swarmbotics AI Full time
About Swarmbotics AI

Swarmbotics AI is a low-cost, swarm robotics company revolutionizing industries and defense. Our mission is to build 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.

Job Description

We are 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.

Key Responsibilities
  • Design and develop autonomous ground vehicles for defense applications
  • Implement and integrate complete robotic systems for vehicle swarms
  • Develop perception, planning, control, and hardware integration capabilities
  • Work closely with company leadership to align robotic capabilities with Swarmbotics' product roadmap
Requirements
  • BS in Robotics or Computer Science
  • 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
  • Ability to obtain and hold a U.S. security clearance

We are an equal-opportunity employer and welcome applications from qualified candidates 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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