Software Engineer, Computer Vision

Remote · London · Cambridge · Full-time · Remote · Posted Oct 19, 2026

At a glance

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.

CircuitHub is seeking a Software Engineer specializing in Computer Vision to improve automated optical inspection, part picking, and precise alignment for their factory-scale robotics platform, The Grid.
The role involves building data loops, working with high-speed cameras and GPU capture pipelines, and measuring production accuracy.

Inspect boards by improving automated optical inspection that finds missing, rotated and wrongly placed parts and bad solder, working alongside AI agents.
Pick reliably by training and deploying models that find parts in bins and trays, centre them on the nozzle and catch a clumped or dropped pick.
Align precisely through fiducial detection, calibration and image alignment for placements measured in fractions of a millimetre.
Build the data loop by deciding what to capture, building labelling tools, and turning operator verdicts into training data.
Go fast by working with high-speed cameras and GPU capture pipelines to move vision closer to real time.
Measure it by tracking accuracy in production, finding where errors come from, and proving every change against past results.

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.
Use coding agents to move faster and take full ownership of what they produce.
Like the physical world: lighting, lenses and parts rotated by 90°.