Hardware Engineer

Bridge Neurotech, Inc.

Redwood City (CA)

On-site

USD 120,000 - 150,000

Full time

6 days ago
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Benefits offered by this job

Excellent medical benefits and a 6% 1/

Job summary

Bridge Neurotech, Inc. seeks a hands-on Hardware Engineer to turn ideas into physical parts and scale them for low-volume production. You will design in CAD, 3D print, machine, and assemble while scripting automation to improve efficiency.

This is a lab‑heavy role with exposure to AI‑assisted tooling and rapid prototyping. You’ll work closely with imaging scientists and clinicians to ensure hardware meets real‑world use cases, from molding to final assembly, with opportunities to advance into

Qualifications

  • Bachelor’s degree in mechanical or electrical engineering or related field.
  • Working proficiency in CAD for parametric modeling, assemblies, drawings, and DFM.
  • Hands-on 3D printing experience with tuning, troubleshooting, and part decisions (print vs machine vs mold).
  • Strong technician skills: soldering boards and wires, building clean harnesses, assembling hardware.
  • Demonstrated Python scripting ability (file handling, API calls, serial interfaces, data wrangling).
  • Familiarity with AI coding tools and rapid tooling for prototyping and automation.
  • Bias toward building, testing, and improving hardware rather than just design.
  • Self-directed and motivated with goal-oriented execution.

Responsibilities

  • Design and iterate mechanical parts in CAD for housings, mounts, fixtures, enclosures, and lab hardware.
  • Own our 3D printing: run, maintain, optimize materials, and manage the queue.
  • Build workflows around 3D printing and CNC: scripting, monitoring, CAM setup, revision control, part tracking.
  • Develop processes for low-volume production: mold design, casting, potting, bonding, and fixtures.
  • Perform assembly: soldering, cabling, harness assembly, and careful component routing.
  • Create and maintain test fixtures and benchtop setups; keep lab equipment calibrated.
  • Write Python to automate tools, data logging, instrument control, inventory tracking.
  • Support daily hardware needs: equipment orders, workstations, and shop stocking.
  • Collaborate with imaging scientists to translate parts into real-use applications.

Skills

CAD design
Prototype building
Python scripting
Soldering & wiring
AI tooling
Documentation & QC
2D/3D measurements
Startup mindset

Education

Bachelor’s degree in mechanical or electrical engineering

Tools

Altium
CNC

Job description

About Bridge Neurotech

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.

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.

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.

What you’ll do
  • 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 slicing and job submission, print farm monitoring, CAM setup, revision control, and part tracking.

  • Develop processes for low-volume part production, for example mold design and fabrication, casting, potting, bonding, finishing, and the jigs and fixtures those processes need.

  • Do the work that makes hardware real: fine-pitch and through-hole soldering, cable and harness assembly, routing, and careful assembly of delicate parts.

  • Build and maintain test fixtures and benchtop setups, and keep lab equipment calibrated, organized, and working.

  • Write Python to glue the shop together: automation, instrument control, data logging, and part and inventory tracking.

  • Support the team’s everyday hardware needs, for example specifying and ordering equipment, setting up workstations and lab machines, and keeping the shop stocked.

  • Work directly with our imaging scientists and research team to understand how each part will actually be used.

Who you are

Required

  • 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.

  • A bias toward building, testing, and improving over designing to completion first.

  • Self-directed and self-motivated, with the ability to execute on a goal rather than a step-by-step guide.

Nice to have

  • PCB layout experience, particularly in Altium.

  • CNC machining experience, for example CAM programming, fixturing, workholding.

  • IT and lab infrastructure work, for example specifying and ordering computers, installing software, and managing network and lab equipment.

  • Personal projects, a shop of your own, robotics or FSAE, or other evidence that you build things unprompted.

  • Prior work in a startup or small team, or other evidence of thriving without much scaffolding.

What we offer
  • Real ownership of the hardware this company runs on, with a direct path to growing into a senior or lead role as the team scales.

  • A shop you get to build. We buy the equipment and tooling; you decide what we need and how it runs.

  • Direct collaboration with our imaging scientists and research team, and with leading clinicians and neuroscientists at top-tier academic institutions.

  • Work on a modality early enough that the tooling does not exist yet. Much of what you build will be the first of its kind.

  • Excellent medical benefits and a 6% match 401(k).

Bridge Neurotech is an equal opportunity employer. We encourage candidates of all backgrounds to apply.

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