Deploys, develops, and debugs AI-powered tractor-mounted camera systems on farms, spending 50% time in-field across CA/WA and 50% remote. Requires 1-3 years robotics experience with Python/C++, computer vision, and customer-facing skills.
135k – 175k
Hybrid1+ YOEEmbedded Engineering
About the role
What You'll Do
Deploy, debug, and develop the next generation(s) of our advanced, tractor-mounted camera systems at customer sites, ensuring they perform exceptionally in diverse farm environments.
Work closely with our farmers to deeply understand their operational needs, gather insights, and translate their feedback into real improvements.
Partner with our sales team during customer demonstrations to showcase Orchard's technology to new farmers.
Innovate and prototype creative solutions to unique problems encountered in the field, leveraging your robotics and engineering expertise.
Be a generalist, supporting different parts of our software and hardware stack if needed.
What Makes You a Good Fit
1-3 years of relevant experience in industry or academia.
Strong technical skills in robotics (Python, C++, embedded hardware, computer vision, localization, sensor fusion, or robotics hardware).
You don't mind frequent travel, spending time out in the fields, and love the outdoors.
Self-motivated, able to solve problems independently and thrive in unstructured environments.
Excellent interpersonal skills and genuine excitement about engaging with customers.
Must not have allergies to common agricultural products (nuts, apples, grapes, strawberries, blueberries).
Bonus Points:
Experience optimizing robotics algorithms for embedded platforms (e.g., NVIDIA Jetson).
Familiarity with agriculture or outdoor equipment.
Previous startup, outdoor adventure, or field deployment experience.
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On-site2+ YOEEmbedded Engineering
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Develops perception and localization algorithms for tractor-mounted AI camera systems on farms, fusing sensor data like stereo depth and GNSS for precise positioning. Requires 2+ years in robotics with expertise in computer vision and edge-optimized Python/C++ code.