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Robotics Software Engineer at BudBreak Innovations

cox-exponential · San Francisco/Napa (hybrid), USA

Software DevelopmentExternal listingfull-timeabout 1 month ago

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 the design is wrong, and carry work from prototype to production in the field.
  • What you build will ship to real farms, affect real growers, and define the technical foundation of the
  • company.
  • **What you will work on:**
  • Developing and maintaining software for GNSS, camera, IMU, and LiDAR sensor integration on our

edge computing platform

  • Improving robot autonomy for vineyard row navigation including localization, row-end detection, and

obstacle response

  • Developing on-edge data processing algorithms for real-time perception and field intelligence
  • Diagnosing and resolving system-level issues including USB reliability, driver stability, and hardware

trigger timing in vibration environments

  • Supporting field deployment and contributing to documentation that the operations team depends on

**What we are looking for:**

  • Strong Python and C++ skills in a Linux environment
  • Strong mathematical foundation in relevant areas such as linear algebra, probability, optimization, or

differential equations

  • 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)

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