Computer Vision Engineer

About CircuitHub

On-Demand Electronics Manufacturing

Tech

- 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.

The role

### **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?**

Skills

• Torch/PyTorch
• OpenCV