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Software Engineer, Computer Vision

Role overview

Qualifications

  • 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.

Responsibilities

  • Inspect boards.
  • Pick reliably.
  • Align precisely.
  • Build the data loop.

Key facts

Hard skills

Other skills

  • Problem Solving
  • Teamwork

About the company

CircuitHub logo

CircuitHub

Computer Software / SaaS

On-demand manufacturing from 1 to 10,000 units. Get a quote for full turnkey PCB assembly directly from your EDA files within five minutes. CircuitHub is on a mission to fix rapid electronics prototyping. We are the first automated electronics factory built around a modern tech stack. We help hardware companies producing self-driving cars, satellites, 3D printers, robotics, & more to rapidly prototype electronics and get to market faster. We've raised $19M from top investors that include Y Combinator and Google Ventures. With business growing fast we are looking to fill roles in Massachusetts, USA and London, UK.

Company details

Company typeSME
IndustryComputer Software / SaaS
Company size51 - 200

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Job description

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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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