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The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub‑millimeter accuracy—without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers tackle labor shortages and rising costs. Designed in Seattle and built at our cutting‑edge manufacturing facility in Richland, Washington, the LaserWeeder sets a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA’s venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation.
As a Robot Systems Software Engineer at Carbon Robotics you will work alongside software, mechanical and electrical peers to build AI and robotics products. You’ll be involved in the design and implementation of robot‑side features and algorithms, and you may need to visit farms to ensure our products are reliable and safe.
Base salary range: $180,000—$200,000 USD. Carbon Robotics offers ancillary compensation through benefits premiums, pre‑IPO stock options, and on‑target earning commissions. Base pay ranges are reviewed annually, and all offers are determined using equitable hiring practices.
Competitive benefits for full‑time US employees include:
Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone’s voice and believe in open and transparent communication. We are committed to equal employment opportunity in accordance with applicable laws. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identity and expression, marital status, military status, pregnancy, sexual orientation, age, national origin, ancestry, citizenship, disability, HIV/AIDS, genetic information, or any other protected class.
Qualified applicants will receive a short survey after applying to help the team learn more about you.