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Edge Operations Engineer

hace 1 mes


Chile Climatetechlist A tiempo completo
Our mission

Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. By making fish farming cheaper and more viable than livestock production, we aim to mitigate one of the biggest causes of climate change and help prepare our planet for impending population growth. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.

We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision makes you smile, gives you goosebumps, or otherwise inspires you please get in touch.

Our product

We are currently focused on helping salmon farmers better understand their fish populations and make environmentally-sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to:

  1. Quantify fish weights
  2. Detect the health status
  3. Generate optimal feeding plans in real time

Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.

The role

Aquabyte is seeking an Edge Operations Engineer in our Chile office. You will be responsible for ensuring that Aquabyte can reliably and securely control the hardware we deploy at remote Internet-connected farms in Chile and throughout the world. You will improve our deployment process for remotely upgrading the software deployed on our remote hardware and also improve the reliability of the deployed hardware by:

  1. Automating burn-in testing
  2. Instrumenting the necessary observability to detect and mitigate hardware failures
  3. Ensuring we have the redundancies in place to minimize downtime at a remote site

Aquabyte helps fish farmers manage their day-to-day operations by using off-the-shelf cameras run through computer vision and machine learning algorithms to provide biomass estimation, sea lice counting, and optimal feeding schedules.

This role is flexible and is based out of our Chilean offices and involves occasional travel to the United States and Norway.

You should be familiar with Linux, networking, certificate authorities, and deploying software to both ARM64 and AMD64 hardware.

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