Cox Exponential

Cox Exponential

Robotics Software Engineer at BudBreak Innovations

San Francisco/Napa (hybrid), USA

Sponsorship not specifiedDetected 14 days ago
PythonC++AlgorithmsLinuxRoboticsSensors

About the role

  • Budbreak Innovations builds autonomous ground robots for commercial vineyards, berry farms, and orchards. Our platform captures high-resolution imagery, GNSS tracks, and LiDAR data across thousands of acres per season, powering crop scouting today and full field automation tomorrow. We are a Cornell spinout with active deployments across California and New
  • York, and we are growing fast. As a one of the first engineers in the team, you will have a seat at the table on architecture decisions, technology selection, and how we scale our robotics platform from a single robot to a commercial fleet. This is not a feature-execution role. We are looking for someone who wants to own systems end to end, push back when

Responsibilities

  • Budbreak Innovations builds autonomous ground robots for commercial vineyards, berry farms, and orchards.
  • What you build will ship to real farms, affect real growers, and define the technical foundation of the company.

Requirements

  • Familiarity with microcontrollers and embedded Linux platforms
  • Familiarity with robotic perception and control algorithms and tools such as state estimation, localization, navigation, or motion control
  • Comfort debugging at the hardware-software boundary (GPIO, serial, USB, timing)

Company info

  • Our platform captures high-resolution imagery, GNSS tracks, and LiDAR data across thousands of acres per season, powering crop scouting today and full field automation tomorrow.
  • We are a Cornell spinout with active deployments across California and New York, and we are growing fast.
  • We are looking for someone who wants to own systems end to end, push back when the design is wrong, and carry work from prototype to production in the field.

This listing is sourced directly from Cox Exponential's careers page and normalized into a canonical job model.