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Orchard

AI-powered crop load measurement in orchards

Forward Deployed Robotics Engineer

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-time$135k - $175k /yr

About the Job

Requirements

  • The role requires 1–3 years of relevant experience in industry or academia.
  • The candidate should have strong technical skills in robotics, including Python, C++, embedded hardware, computer vision, localization, sensor fusion, or robotics hardware.
  • The candidate must be comfortable with frequent travel and spending time in fields.
  • The candidate must be able to solve problems independently and work effectively in unstructured environments.
  • The candidate must not have allergies to common agricultural products, including nuts, apples, grapes, strawberries, and blueberries.

Responsibilities

  • Deploy, debug, and develop tractor-mounted camera systems at customer sites, ensuring they perform effectively in diverse farm environments.
  • Work with farmers to understand their operational needs, gather insights, and translate feedback into product improvements.
  • Partner with the sales team during customer demonstrations to showcase Orchard's technology to prospective farmers.
  • Innovate and prototype solutions to problems encountered in the field using robotics and engineering expertise.
  • Support different parts of the software and hardware stack as needed.

Desired Qualifications

  • Experience optimizing robotics algorithms for embedded platforms such as NVIDIA Jetson.
  • Familiarity with agriculture or outdoor equipment.
  • Previous startup, outdoor adventure, or field deployment 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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