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Orchard Robotics is seeking a hands-on hardware generalist who can take a camera system from concept to reliable production hardware. The role covers mechanical CAD, electrical integration, harness building, troubleshooting, and test and quality processes for rugged farm equipment.
A strong candidate brings about three years of electromechanical product experience, solid 3D CAD and design for manufacturing skills, and practical bench ability with wiring and power issues.
This role asks for a hands-on hardware generalist who can take a camera system from concept to reliable production hardware. The work spans mechanical CAD, electrical integration, harness building, troubleshooting, and test and quality processes for rugged farm equipment. A strong candidate brings about three years of electromechanical product experience, solid 3D CAD and design for manufacturing skills, and practical bench ability with wiring and power issues.
The AI lives in the vision models and farm software, while this role builds the physical platform that carries the cameras through vibration, dust, water, and heat. AI can speed up drafting and analysis, but choosing materials, tolerancing parts, and diagnosing a power fault on a tractor stay hands-on. The human judgment is in making hardware repeatable and dependable in the field.
Working beside perception and embedded teams gives close exposure to how edge vision systems are specified and integrated into real products. Skills to build include familiarity with camera modules, Jetson class compute, and Linux based devices, plus designing test fixtures and rugged enclosures. Environmental and production testing experience would deepen that base.
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AI camera systems that mount on ordinary tractors and, per the company, count and measure every piece of fruit on a farm, giving growers plant-level data for pruning, thinning, spraying and harvest.