Software Engineer, Computer Vision
Circuithub
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Key Responsibilities
- 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.
- Compensation: £80K - £125K • Offers Equity • Multiple Ranges UK • £80K - £125K • Offers Equity US • $125K - $250K • Offers Equity
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About the Employer
Circuithub
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