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Hardware Systems Engineer - Agricultural IoT & Automation

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Posted:5 days ago| Platform: Linkedin logo

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Full Time

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Our client is a fast-moving AgriTech startup on a mission to reimagine farming through smarter

automation and precision systems. They are seeking a Hardware Systems Engineer to lead

the development and integration of cutting-edge agricultural automation systems. You will

design and implement robust hardware infrastructures that interact with IoT sensors, edge

computing devices, and automated control systems for modern agriculture.


Key Responsibilities:


  • Design and prototype hardware systems that integrate with IoT sensors, microcontrollers and embedded platforms, and automation components
  • Collaborate on system architecture, including signal acquisition, power management, sensor fusion, wireless telemetry using technologies such as LoRaWAN, NB-IoT, Zigbee
  • Ensure ruggedization and reliability of hardware under harsh environmental conditions
  • Support firmware development and assist in real-time data acquisition and control
  • Work closely with data, and agri-domain teams to deliver seamless farm-to-cloud experiences
  • Conduct field trials, diagnostics, and troubleshooting of deployed systems


Required Skills & Qualifications:


  • Bachelor’s or Master’s degree in Electrical/Electronics Engineering, Mechatronics, or a related field
  • Proven experience designing PCB-level hardware and working with embedded systems. Familiarity with sensor calibration, wireless protocols, and energy-efficient electronics. Hands-on experience with platforms such as STM32, ESP32, Arduino, Raspberry Pi. Knowledge of agricultural / industrial environments and challenges is a major plus.
  • A love for debugging, both in the lab and in the wild
  • Strong analytical, documentation, and problem-solving skills


Preferred Extras:


  • Experience with automation components (e.g., actuators, relays, solenoids, pumping & irrigation systems)
  • Exposure to AgriTech or environmental monitoring projects
  • Background in remote telemetry, satellite/GNSS integration, or AI/ML at the edge
  • Comfort pitching in with code, dashboards, or rapid prototyping (3D printing and digital manufacturing technologies)

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