AI-powered laser weeding system for specialty crop growers
Carbon Robotics manufactures the LaserWeeder G2, a robotic system that uses computer vision and AI to identify and laser-burn weeds in large-scale specialty crops. The tech stack reveals a hardware-forward company: embedded systems (C, C++, FreeRTOS, Zephyr, CAN) paired with cloud infrastructure (Kubernetes, Terraform, AWS, PostgreSQL), plus mobile apps (Flutter, React Native) for farmer-facing interfaces. Active projects around diesel-electric tractor platforms and high-voltage distribution networks signal a multi-year pivot beyond pure weeding into broader field-robotics electrification.
Carbon Robotics designs and manufactures autonomous weeding robots for specialty crop growers. The LaserWeeder G2 uses AI-powered computer vision to distinguish crops from weeds, then destroys weeds with laser pulses. The company has deployed over 100 units across North America, Europe, and Australia. Design and R&D are based in Seattle; manufacturing runs from a facility in Richland, Washington. The hiring mix—skewed toward engineering and support, with active manufacturing, finance, and ops roles—reflects the challenges of scaling hardware production while maintaining distributed fleet reliability.
The LaserWeeder G2, an AI-powered robotic system that uses computer vision to identify weeds in specialty crops and destroys them with lasers. Over 100 units are deployed globally.
Design and headquarters are in Seattle, Washington. Manufacturing occurs at a dedicated facility in Richland, Washington.
Embedded systems (C, C++, FreeRTOS, Zephyr, CAN); cloud infrastructure (Kubernetes, AWS, PostgreSQL, Terraform); mobile apps (Flutter, React Native); and design tools (Altium Designer, Figma).
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