Computer Vision Engineer
CircuitHub · GB ·
- Work mode
- Remote
- Category
- ML ai
About CircuitHub
CircuitHub is reshaping electronics manufacturing with The Grid , a factory-scale robotics platform designed to make small-batch, high-mix electronics assembly radically more efficient. Think semiconductor-fab levels of precision applied to the chaotic world of prototyping and low-volume production. The result? A 10x throughput improvement in one of the world's most foundational industries.
We've raised $20M from top-tier investors, including Y Combinator and Google Ventures , and we're already profitable. Our customers include industry leaders like Tesla, Meta, and Zipline.
The Grid isn't a prototype. It's live, scaling fast, and delivering real revenue. We're now building the engineering core that will scale it further.
What We're Looking For
We’re looking for an engineer to found our computer vision team. We currently deploy a variety of learned models for circuit board defect detection and bin picking. We are looking for a founding engineer to architect our labelling pipeline and improve and expand the range of deployed models. This is an incredibly high-impact role that will directly contribute to 3x revenue growth over the next year.
Who This Role Is For
This role would suit a full-stack computer vision engineer comfortable building front-end labelling tools and training models. This is not a pure research position.
Example Tasks
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Decide what data we should be capturing about PCB defects
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Design and implement a database schema and front-end labelling tool
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Train vision models using the labelled data
Location
Remote or work from one of our labs in the UK (London, Cambridge) or USA (Boston)
Why This Role Matters
The work of the computer vision team will be critical to making electronics manufacturing economically viable in the USA and Europe. This is a career-defining opportunity for a high-agency engineer. If you thrive on ownership and solving real problems using advanced research techniques, there’s no better place to be.
Key Tools & Technologies
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Python
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TypeScript and React
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OpenCV
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PyTorch