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Home›Jobs›Aquabyte›Embedded Software Engineer
Aquabyte

About Aquabyte

AI solutions for sustainable fish farming

🏢 Tech👥 21-100 employees📅 Founded 2017📍 SoMa, San Francisco, CA💰 $59.8m⭐ 3.6
B2BSustainabilityFoodAgricultureSaaS

Key Highlights

  • Headquartered in SoMa, San Francisco, CA
  • $59.8 million raised in Series B funding
  • AI-powered platform for monitoring fish health and welfare
  • Global presence with farms utilizing Aquabyte's technology

Aquabyte is a pioneering company in the aquaculture industry, headquartered in SoMa, San Francisco, CA. With $59.8 million in funding from investors like Costanoa Ventures and Blue Horizon, Aquabyte leverages AI-powered solutions to enhance fish health and farm productivity. Their innovative platfor...

🎁 Benefits

Aquabyte offers an unlimited vacation policy, flexible working hours, and a hybrid work environment. Employees receive comprehensive medical, vision, ...

🌟 Culture

Aquabyte is committed to revolutionizing the fishing industry sustainably, focusing on reducing over-fishing impacts through advanced technology. The ...

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Aquabyte

Embedded Software Engineer

Aquabyte • San Francisco Bay Area

Posted 1 year agoEmbedded engineer📍 San francisco💰 USD130,000 - USD190,000 / year
Apply Now →

Job Description

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 quantify fish weights, detect the health status, and 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.

About The Edge Systems Team:
Edge engineering is responsible for the hardware and software orchestrating the hardware installed at fish farms around the world. Our goals are to create autonomous, reliable, bandwidth-light, long-lasting, robust, remote-debuggable, fail-safe, and easily deployable underwater cameras and sensors.

We work with world-class mechanical engineering firms and optical consultants to spec the underwater equipment we deploy. The edge engineering team writes software and procedures to make quality testing of these cameras as easy as possible for the field team in Norway. The types of tests we orchestrate are hardware burn-in, optical quality testing in-air and in-water, sensor calibration and verification, and stereo camera calibration.

The edge team also writes software to make it easy for the field team to successfully deploy and configure our hardware at the farm. As it’s often rainy in Norway and the Internet may not yet be set up, our debugging tools need to operate wirelessly and allow a field technician to interface with the hardware from their phones.

The edge team is responsible for designing the network, cellular backup system, and mesh network of devices at a farm. We plan for failure, and build in redundancies where possible. Internet can go out for hours and there’s only so much data we can uplink. Boats may park between our antennas.

As Aquabyte evolves, more products will be built on-top of the pixel and sensor data we collect. In order to scale, these algorithms need to live on the edge. We work closely with the machine learning team to help move their algorithms safely from the cloud to the edge.
We are responsible for our own Linux build process and the process of safely deploying software to the devices in the field.

This role is flexible and is based out of our Bay Area office and involves occasional travel to Norway and Chile.

Interested in this role?

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