Careers
The hardest CV environment in medicine is hiring.
Reading small print at 30–80 cm on wearable optics. Fusing a continuous low-resolution stream with episodic high-resolution stills. Edge inference in a room where the network is nobody's priority. Volume estimation on curved, glare-prone syringes — with quantified uncertainty. If that paragraph made you feel something, keep reading.
Why this problem
The operating room may be the hardest computer-vision environment in medicine — and medication documentation is the one clinical perception task with no person in the frame and an answer key at the end. NIH funds our validation science; we fund computer-vision research at Carnegie Mellon's School of Computer Science; a decade of Vigilant infrastructure gives us structure to read that no one else has; and the field's literature is one paper deep. The interesting work is all still ahead.
Open roles
- Founding computer-vision engineer. Detection, classification, and volume estimation that survive real ORs. Dallas or remote.
- Senior edge/systems engineer. The capture-to-record pipeline on embedded hardware: power, latency, reliability. Dallas or remote.
- Engineering leadership. We are always talking to exceptional senior engineers and engineering leaders ahead of formal postings.
Introduce yourself through the contact form — choose "Engineer / candidate" — and include a link to whatever best shows how you think: a repo, a paper, a system you're proud of.
How we work
Small team, hard problem, honest engineering culture: what broke ships in the monthly update next to what worked. Evidence before claims applies inside the company too.