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Orchard

AI-powered crop load measurement in orchards

Hardware Assembly Technician

Product AssemblyPosted on Nov 9
Full-timeSan Francisco, CA, USA$27 - $39 /hr

About the Job

Requirements

  • Hands-on experience assembling electronics or electromechanical products and a track record of careful, reliable work.
  • Practical mechanical and electrical knowledge, familiarity with common assembly tools, and safe working practices.
  • Ability to read mechanical drawings and follow detailed work instructions accurately.
  • Experience with basic hardware inspection, functional testing, and troubleshooting.
  • Comfort using computers to follow software installation steps, enter information accurately, and maintain build and test records.
  • Strong attention to detail, including spotting problems, documenting them clearly, and asking questions when instructions do not match.
  • Organization and follow-through across builds, parts tracking, and supplier follow-ups.
  • Experience following and improving standard operating procedures.

Responsibilities

  • Build complete camera systems from start to finish.
  • Configure onboard NVIDIA Jetson computers.
  • Inspect, test, and perform quality assurance on assembled hardware.
  • Maintain build records and document completed work.
  • Follow procedures consistently and provide feedback to improve processes.
  • Track and inventory parts used in assembly to keep builds supplied.
  • Maintain build schedules and an organized work area, with follow-through.
  • Install software on onboard computers, inspect and test finished hardware, and document findings.
  • Help keep parts available and improve build instructions and processes in collaboration with Manufacturing Operations and Hardware Engineering.

Desired Qualifications

  • Linux experience.
  • NVIDIA Jetson setup experience.
  • Component purchasing experience.
  • Inventory tracking experience.

About the Company

Orchard

AI-powered crop load measurement in orchards

Orchard Robotics designs and sells (and may lease) advanced camera systems paired with AI-powered computer vision software to manage crop load in orchards. The system attaches to tractors or farm vehicles, capturing images of trees and using custom software to size and track visible fruit on every tree. This provides growers with precise data on fruit load, enabling informed decisions to optimize yield and fruit quality. Unlike generic surveillance or imaging tools, Orchard combines Cornell University–originated research with purpose-built hardware and software for per-tree fruit counting and tracking. The company’s goal is to help orchard operators improve crop yield and quality through data-driven farming, supported by direct sales or service contracts.

Company size
11-50
Company stage
Series A
Total funding
$26.4M
Headquarters
Seattle, WA
Founded
2022

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