Software Engineer, Computer Vision

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.