Software Engineer, Computer Vision

CircuitHub, Inc.; United States; On-site; USD 125,000 - 250,000; Full time

Job summary

CircuitHub, Inc. is seeking an experienced computer vision engineer to scale automated inspection and placement systems on The Grid. You will design, implement, and deploy production-grade vision pipelines using Python, C++, and state-of-the-art libraries.

You will work with Basler and high-speed cameras, calibrate systems, and own data loops from labeling to training. Strong collaboration with AI and hardware teams is essential.

Qualifications

• Shipped computer vision into production, beyond a notebook.
• Strong software engineering in Python, C++ or a comparable language.
• Mix of classical vision and deep learning; know when to use each tool.

Responsibilities

• Inspect boards and improve automated optical inspection with AI agents.
• Train and deploy models to locate parts in bins and trays.
• Calibrate and align fiducials and image pipelines for precise placements.
• Build data loops by labeling data and turning operator verdicts into training data.
• Work with high-speed cameras and GPU capture to approach real-time vision.
• Track production accuracy and quantify changes against prior results.

Skills

Python

C++

Computer vision

Deep learning

Production software

Tools

OpenCV

PyTorch

ONNX Runtime

libtorch

Haskell

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.