Bridge Neurotech is building a non-invasive interface for the mind. Our aim is to image the brain's activity using ultrasound without surgery or other modifications to the body. First research study enrolling in Redwood City, California. Backed by General Catalyst.
About the role
We are looking for a Hardware Engineer to turn ideas into physical parts, and to turn the making of those parts into a repeatable process. Almost nothing we build can be bought, so we need to build our own as one-off or low-volume production. You will own that work: design it, build it, test it, scale it. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s degree in mechanical engineering, electrical engineering, or a related engineering discipline
- Working proficiency in CAD: parametric modeling, assemblies, drawings, and design for manufacturing
- Hands-on 3D printing experience, for example tuning, troubleshooting, and repair, plus the judgment to know when a part should be printed, machined, or molded
- Strong technician skills: comfortable soldering both boards and wire, building clean harnesses, and assembling precision hardware without breaking it
- Demonstrated experience with Python. You do not need to be a software engineer, but you should be able to write a real script, for example file handling, an API call, a serial interface, some data wrangling, without it being a project
- Fluent with AI coding tools and comfortable vibe coding your way to working tooling
More about this role
Bridge Neurotech is building a non-invasive functional ultrasound imaging (fUSI) platform with AI-based neural decoding for brain-computer interface applications. We are a seed-stage neurotechnology company developing technology that has the potential to transform how we interact with the human brain.
We are looking for a Hardware Engineer to turn ideas into physical parts, and to turn the making of those parts into a repeatable process. Almost nothing we build can be bought, so we need to build our own as one-off or low-volume production. You will own that work: design it, build it, test it, scale it.
This is a hands-on lab role with significant breadth: CAD in the morning, soldering in the afternoon, and Python scripting in between. We expect you to use AI coding tools to develop automations and bespoke tools to improve efficiency.
Design and iterate mechanical part design in CAD, for example probe housings, mounts, fixtures, enclosures, and lab hardware.
Own our 3D printing: run and maintain the printers, dial in materials and profiles, manage the queue, and keep turnaround measured in hours.
Build the workflow and automation around 3D printing and CNC, for example scripted...
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