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Bridge Neurotech

Develops non-invasive ultrasound brain sensing

Mechanical Engineer

Design EngineeringUpdated on Nov 11
Full-timeRedwood City, CA, USA

About the Job

Requirements

  • Three to five years of mechanical engineering experience taking hardware from concept through prototype builds.
  • A bachelor's degree in mechanical engineering, a closely related discipline, or equivalent experience.
  • Strong proficiency in CAD, including parametric modeling, assemblies, drawings, geometric dimensioning and tolerancing basics, and design for manufacturing.
  • Solid engineering fundamentals applicable to statics and beam mechanics, basic heat transfer, basic fluids, and tolerance stack analysis.
  • Experience working with electrical engineers on mechanical and electrical integration, including connector selection, board outlines, and test fixturing.
  • Hands-on 3D printing experience, including tuning, troubleshooting, and repair, and the judgment to decide when a part should be printed, machined, or molded.
  • Strong shop skills, including comfort with hand and power tools, post-processing and finishing parts, and assembling precision hardware.
  • Fluency with AI coding tools and comfort using them to build working tooling, including scripting the CAD package when it lacks a needed feature.
  • A bias toward building, testing, and improving rather than designing to completion first.
  • Ability to self-direct and execute on a goal without a step-by-step guide.
  • A track record of taking hardware from an ambiguous requirement to a working part, demonstrated through shipped products, personal projects, a home shop, or other work showing initiative in building things.
  • Strong written and verbal communication, including clear drawings, build documentation, test plans, and explaining tradeoffs to a mixed audience.

Responsibilities

  • Design and iterate mechanical parts in CAD, including housings, mounts, fixtures, enclosures, and lab hardware, applying first principles, materials knowledge, and design for manufacturing.
  • Build test infrastructure to make engineering measurable and create benchtop rigs for hardware bring-up.
  • Build designed parts in house by operating and maintaining 3D printers and desktop CNC equipment, tuning materials and profiles, managing the production queue, and developing related workflows and automation such as scripted slicing and job submission, CAM setup, revision control, and part tracking.
  • Outsource parts that cannot be built in house, including obtaining quotes and managing vendors.
  • Develop low-volume part production processes, including mold design and fabrication, casting, potting, bonding, finishing, and the jigs and fixtures those processes require.
  • Perform first-order engineering analysis before building and follow it with simulation.
  • Assemble hardware, including precision assembly of delicate parts, basic cable and harness work, and careful integration of mechanical, electrical, and acoustic components.
  • Write Python for CAD scripting and plugins, automation, instrument control, and data logging.
  • Work directly with imaging scientists and the research team to understand how each part will be used.

Desired Qualifications

  • Experience designing small wearables or body-contacting hardware where space, weight, and comfort drive the design.
  • CNC machining experience, including CAM programming, fixturing, workholding, and operating a mill or lathe.
  • Soldering skills for board-level fine-pitch and through-hole work and wire, along with clean cable and harness assembly.
  • Experience with metrology, 3D scanning, or finite element analysis.
  • Prior work in a startup or small team, or other evidence of thriving with limited scaffolding.

About the Company

Bridge Neurotech

Develops non-invasive ultrasound brain sensing

Bridge Neurotech is developing a non-invasive brain-computer interface that uses ultrasound to image brain activity without surgery or body modification. It aims to sense neural signals through transcranial ultrasound, offering a fast, portable way to read brain activity with data that could be used to build a two-way link to the mind. Unlike implant-based BCIs, Bridge Neurotech avoids surgery by relying on ultrasound, a technology already used in hospitals, to capture neural data and support neuromodulation research. The company differentiates itself by focusing on non-invasive brain sensing and on turning the resulting data into useful insights, rather than creating implanted devices. Its goal is to enable scalable, non-surgical access to brain information and potential two-way communication, starting from research and partnerships, such as the collaboration with Butterfly Network, with no commercial products or pricing announced yet.

Company size
Not listed
Company stage
Early VC
Total funding
$13.5M
Headquarters
Redwood City, CA
Founded
2026

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