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.