Software Engineer, Computer Vision arbeitnow Circuithub Remote · 10/20/2026

Primetime; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

CircuitHub is building The Grid, a factory-scale robotics platform for high-mix electronics assembly. We’re scaling live production and delivering real revenue while redefining prototyping speed and repeatability.

The role focuses on computer vision in production: shipping vision software into real systems using OpenCV, PyTorch, and Python, with C++ for performance, and working with industrial cameras and high-speed imaging.

Qualifications

• Shipped computer vision into production, beyond a notebook.

Responsibilities

• Inspect boards and improve automated optical inspection alongside AI agents.

Skills

Python

C++

Computer Vision

Deep Learning

Production Software

Tools

OpenCV

PyTorch

ONNX Runtime

libtorch

Basler pylon

Job description

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

This overview was written from the original listing to help you understand the role. Always confirm the specifics on the employer’s application page.