Full Stack Engineer at BudBreak

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Full Stack Engineer at BudBreak

Cox Exponential

Location

San Francisco/Napa (hybrid)

Experience

Mid

Posted

Jul 10, 2026

Apply by

August 9, 2026

Applicants

0

Early applicantFull-timeHybrid

Job Description

Budbreak Innovations is building the crop intelligence infrastructure that will define the next generation of precision agriculture. Our autonomous robots scout vineyards, berry bushes, and orchards, turning field data into actionable insights for growers. We are a small, fast-moving team with paying customers and a growing fleet in the field. We are looking for a Full Stack Engineer to own and grow our customer-facing web platform. This role sits at the intersection of data visualization, field operations, and customer UX. You will work directly with the executive team to build tools that growers and agronomists use in the field. **What you will work on** • Building and extending our web application for robot deployment scheduling and field monitoring • Designing grower-facing dashboards that display crop intelligence outputs including disease maps, canopy measurements, and field health indices • Developing and deploying cloud-based machine learning pipelines for processing field data at scale **What we are looking for** • 2+ years of experience building production web applications • Proficiency in a modern frontend framework and Python or Node.js on the backend • Experience deploying on GCP or AWS • Preferred: experience with computer vision or LLM applications • Preferred: familiarity with geospatial data or time-series sensor data

Key Responsibilities

  • Build and extend web applications for robot deployment scheduling and field monitoring
  • Design grower-facing dashboards displaying crop intelligence outputs such as disease maps and field health indices
  • Develop and deploy cloud-based machine learning pipelines for processing field data at scale

Skills Required

PythonNode.jsGCPAWSFrontend frameworksComputer visionLLM applicationsGeospatial dataTime-series sensor data

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