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Linux Embedded Engineer at Augury
Haifa, IL

Machines Talk, We Listen. Augury is disrupting the billion dollar Industrial Internet of Things market. The combination of vibration and ultrasonic sensors with powerful machine learning algorithms enables our technology to detect malfunctions before they occur. Our solution impacts the bottom line for customers by reducing maintenance costs, energy consumption and environmental impact.

Augury is looking for a Linux Embedded Engineer who is passionate about building IoT devices. You will be part of a fast-moving and cutting-edge development team of our end-to-end embedded IoT system.

A day in your life here

You will design and develop embedded systems for IoT Edge devices and Hardware communications drivers:

  • Connect sensors to IoT devices via BLE and other IoT protocols (6LoWPAN/Bluetooth Mesh/…).
  • Connect IoT devices to the cloud via wireless and cellular networks.
  • Optimize the communication between IoT devices and sensors for scalability, efficiency and power consumption.
  • Deploy code continuously to customers remote IoT devices.
  • Build slim Linux based firmware images.
  • Develop communication protocols for sensors to do signal processing and run algorithms in edge devices
  • Define and continuously improve the security of our IoT products.

 

What you bring

  • Education: M.Sc./Ph.D. degree in electrical engineering or computer science.
  • This is your playground: you are experienced in developing applications/drivers in userspace Linux. Kernel development is a plus. You have worked with different communication protocols/standards (e,g, Wifi/BLE). Experience with Buildroot /Yocto project is a plus.
  • Passionate about Embedded system: You like to build and deploy projects, have a strong sense of IoT based technologies and are able to create robust development.  
  • Agile: You excel in an energetic and fast-paced start-up environment. You love challenges, are open-minded and embrace changes. You are experienced in short development cycles with fast learning.
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