Software Engineer, Computer Vision

Circuithub · Remote, London, UK · posted Oct 19, 2026

Open to candidates in United Kingdom and United States

£80k–£125k / yr (≈ $106k–$165k)Full-timemid
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What this role actually asks for

Extracted by RemoteHunt

Must have

  • •Shipped computer vision into production
  • •Strong software engineering in Python or C++
  • •Classical vision and deep learning experience
  • •Experience with coding agents
  • •Interest in the physical world

Nice to have

  • •Experience with industrial or machine-vision cameras

Tools and technologies

OpenCVPyTorchLightningONNX RuntimelibtorchHaskellBasler GigE cameraspylonGPUDirectPythonC++PostgreSQLNixNixOS

The full posting

About CircuitHub

CircuitHub is reshaping electronics manufacturing with The Grid, a factory-scale robotics platform that makes small-batch, high-mix electronics assembly radically more efficient. Think semiconductor-fab precision applied to the chaotic world of prototyping and low-volume production: a 10x throughput improvement in one of the world's most foundational industries.

We've raised $45M from top-tier investors including Plural, Y Combinator and Google Ventures, and we're already profitable. Our customers include a major EV maker, a top AI lab and many of the worlds largest companies.

The Grid isn't a prototype. It's live, scaling fast and delivering real revenue, and we're building the team that will scale it further.

What you'll do

  • Inspect boards. Improve automated optical inspection that finds missing, rotated and wrongly placed parts and bad solder, working alongside our AI agents.

  • Pick reliably. Train and deploy the models that find parts in bins and trays, centre them on the nozzle and catch a clumped or dropped pick.

  • Align precisely. Fiducial detection, calibration and image alignment for placements measured in fractions of a millimetre.

  • Build the data loop. Decide what to capture, build labelling tools, and turn operator verdicts into training data.

  • Go fast. Work with our high-speed cameras and GPU capture pipeline to move vision closer to real time.

  • Measure it. Track accuracy in production, find where errors come from, and prove every change against past results.

What we look for

  • You've shipped computer vision into production, beyond a notebook.

  • Strong software engineering in Python, C++ or a comparable language.

  • A mix of classical vision (geometry, calibration, template matching) and deep learning; you know when each is the right tool.

  • Experience with industrial or machine-vision cameras is a bonus.

  • You use coding agents to move faster and take full ownership of what they produce.

  • You like the physical world: lighting, lenses and parts rotated by 90°.

Stack

  • Vision: OpenCV, PyTorch and Lightning, ONNX Runtime on GPU, libtorch from Haskell

  • Cameras: Basler GigE cameras via pylon, high-speed cameras with GPUDirect capture

  • Services: Python and Haskell, PostgreSQL, Nix and NixOS

Pay

UK £80k–£125k · US $125k–$250k, depending on experience, plus equity.

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