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Computer Vision Programmer at Swoop Aero

Docklands, VIC and Remote

Apply to Swoop Aero

We’re looking for someone to join our team on a contract basis to lead a project to build new autonomous capability in our software. We are after someone who can drive a project to utilise computer vision to expand the autonomous capability of our vehicles, by utilising your experience building computer vision systems that utilise data from a pre-trained neural network to facilitate real-time operation on embedded hardware.

About you

Ideally, you’ve worked on a similar project and are comfortable owning and leading the project to completion. You’ll need a background in robotics, machine-learning, or as an embedded systems computer vision expert.

  • Experienced with Jetson Nano TX2 or similar
  • Experienced with Google CloudML or AWS Sagemaker (preferable)
  • Exposure to computer science
  • PhD or similar with a similar project
  • Experience with embedded software in robotics applications
  • Experience with safety critical systems
  • You’ll need to be self-driven and able to drive change in a fast-moving organisation
  • You’ll be an expert communicator and comfortable working alongside business and technical stakeholders, at all levels, to share your knowledge and expertise

Next Steps

If you’ve had experience building a neural network-trained embedded computer vision system in the past, tell us all about it. You can work flexibly or in our Melbourne HQ, while running a cool project that’s saving more lives every day.

About Swoop Aero

Office address

  • Docklands, VIC, 3008

Company size

11-50 people

Founded in

2017

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