We're building a future where hardware companies can design and iterate as fast as software companies

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 $20M from top investors that include Y Combinator , Google Ventures, & more. With business growing fast we are looking to fill roles in Massachusetts, USA and London, UK .

Join us to solve real world problems while shaping the future of automated manufacturing.

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

• Decide what data we should be capturing about PCB defects

• Design and implement a database schema and front-end labelling tool

• 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

• Python

• TypeScript and React

• OpenCV

• PyTorch

Want to help us build the future of manufacturing?

• Haskell API server using GHC 8, Yesod, Opaleye, and many other libraries from Hackage.
• Elm front end.
• PostgreSQL for data storage, with querying via Opaleye & Rel8.
• AWS / Heroku for hosting.
• NixOS for development environments, continuous integration and deployments.
• Functional reactive programming for standalone GUI applications.
• Prometheus and Grafana for metrics and instrumentation.