Embedded Software Engineer, Aquabyte

• Engineering or CS degree
• Software development on an embedded device
• Experience writing and building software
• Professional experience with C, C++, Golang, Python or Rust

Desirable

• 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
• Interface with sensors; cameras; mesh, wireless, and cellular networks to create robust, reliable, and remote data collection and processing systems
• Develop on ARM-based embedded platforms using C, C++, python, golang or rust
• Improve our embedded Linux build and deployment process
• Develop software to automate hardware testing procedures
• Build diagnostic and configuration tooling to enable our field team to interface with our hardware wirelessly from their phones
• Enable our research team to try new machine learning models on real hardware
• Participate in hardware specifications for our next generation equipment
• Participate in on-call for diagnosing and fixing device issues remotely and implementing procedures and tooling to help enable the field team to self-diagnose and fix issues themselves