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6 h ago

Software Engineer, Computer Vision

CircuitHub·Remote·via Ashby

Posted by CircuitHub on 19 October 2026. Still on their Ashby board when we checked 25 min ago. Half of CircuitHub's roles come down within 111 days.

What the posting is about

Reshape electronics manufacturing with The Grid, a factory-scale robotics platform. Improve automated optical inspection and deploy models for precise part placement. Work with high-speed cameras and GPU capture pipeline. Collaborate with AI agents and use coding agents to move faster.

Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationRemote
RemoteYes
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-10-19
Found viaashby, direct from their system

We had it within the hour it went up.

The posting, as the company wrote it
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.

Copied from CircuitHub’s own board, not rewritten. Original ↗

Also open at CircuitHub

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