The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting 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 no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it’s designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers.
Working here means tackling big problems with big impact. You’ll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions.
Join us as we innovate, execute, and build the future of farming together.
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As a Senior Backend Software Engineer at Carbon Robotics you will work alongside your software, mechanical and electrical peers to build AI and robotics products. In particular, you will be involved in the design and implementations of services running in our cloud. You’ll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products.

What you’ll do:

• Partner with Engineering teams to build and scale cloud and on-prem infrastructure software to support our revolutionary Laser Weeding solution and future products.
• Quickly build and troubleshoot applications and tooling to support a dynamic and continuous machine learning model training pipeline with ownership and collaboration
• What you will build will provide remote monitoring and visibility to our fleet of Robots located around the globe.
• Drive decision through project planning, task delegation and leading problem solving efforts to reiterate quickly

KNOWLEDGE, SKILLS, AND ABILITIES FOR SUCCESS:

• Work as a Software Engineer building and implementing services and distributed systems on machine and in the cloud for 5+ years (2+ mid level exp) using Golang
• Experience with Terraform, Ansible, or other provisioning tools
• Experience with Prometheus and/or Grafana or similar tools
• Exposure to Deep Learning Pipelines
• AWS or similar cloud provider
• General knowledge Kubernetes or container orchestration
• Proficiency with web services (REST/GRPC)
• Relational databases (MySQL/Postgres/Sqlite) and Non-Relational databases
• Effective verbal and written communication skills and a desire to work in multidisciplinary teams
• BS+ in Computer Science, Computer Engineering or related field
  Qualified applicants will receive a short survey after applying to help the team learn more about you.

• Partner with Engineering teams to build and scale cloud and on-prem infrastructure software to support our revolutionary Laser Weeding solution and future products.
• Quickly build and troubleshoot applications and tooling to support a dynamic and continuous machine learning model training pipeline with ownership and collaboration
• What you will build will provide remote monitoring and visibility to our fleet of Robots located around the globe.
• Drive decision through project planning, task delegation and leading problem solving efforts to reiterate quickl