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Senior Systems Engineer

Job in Boulder, Boulder County, Colorado, 80301, USA
Listing for: Zooly Labs, Inc
Full Time position
Listed on 2026-08-13
Job specializations:
  • Manufacturing / Production
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below

You own the whole system for Zooly's hip, shoulder or knee surgical technology, from the sensing strategy down to the way every subsystem fits together and holds up in a real procedure. You decide how the device senses joint behavior, how the signals get cleaned and fused, how the pieces talk to each other, and how we prove it all works.

The hard part is not any single subsystem, it is making sensing, embedded, mechanical, software, and algorithms behave as one reliable thing. The best answers here are creative and simple at the same time, the kind of design that looks obvious once you see it. If the hip, shoulder or knee device ships and gives a surgeon information they could never get on their own, it's because you architected a system that actually earned that trust.

Where

the business is 12 months after you join

If this hire goes the way we intend, one year from now:

  • The hip, shoulder or knee system has a real architecture, with sensing, embedded, mechanical, software, and algorithms integrated into one platform that behaves predictably in a lab.
  • We have working prototypes that hold up in cadaver labs and on bench fixtures, with performance we can measure independently and defend.
  • The requirements and verification strategy are tied to clinical and regulatory reality, so the path from prototype to a submit table device is clear instead of hand-wavy.
  • The hip, shoulder or knee work has strengthened the shared platform other joints build on, so the next program moves faster because of decisions you made.
About Zooly

Zooly Labs is on a mission to make advanced surgical guidance more accessible for joint replacement surgery. Joint replacement can restore mobility and quality of life, yet surgeons often have limited objective information during the procedure to assess joint behavior and guide decisions. We build AI-guided technology that combines intelligent sensing, real-time data, and decision support with familiar surgical workflows and standard instruments, without large capital equipment.

We are an early-stage company building a scalable platform across hip, knee, and shoulder.

How we work at Zooly

Patient-driven. Design-obsessed. We're an in-person team of curious, driven people who care about getting the details right, because there's a patient on the table counting on us. A few beliefs shape how we build, and this role lives at the center of them.

  • The patient is why. Behind every procedure is a person counting on the people who built the tools. That is what keeps our standards high and our design work honest.
  • Act like an owner. We take responsibility for our decisions and how we communicate, we think long-term, and we bias toward action.
  • Master your craft. We invest in people who go deep. There is no ceiling that forces a great engineer or designer into management to advance. Go as far into your craft as you want.
What this role is really like

This is hands-on, fast, and not for everyone. You will spend real time in cadaver labs, at bench fixtures, and elbow-deep in signal traces trying to figure out why a sensor reads wrong under load. One week you are deep in coordinate systems and error budgets, the next you are chasing a timing bug across the hardware and software boundary. It is an early-stage startup, so the ground moves and the scope grows as the product grows.

People who need a settled spec and a narrow lane tend to bounce off it. People who love owning a hard, messy, physical problem end to end tend to love it here.

What you'll do
  • Own the system architecture for the hip, shoulder or knee team, including how requirements flow down, how interfaces are defined, and how every subsystem integrates.
  • Define the sensing strategy, choosing among IMUs, force, pressure, strain, position, optical, electromagnetic, or other modalities based on what the problem actually needs.
  • Build the algorithms that make the sensing usable, including calibration, data synchronization, filtering, sensor fusion, and event detection.
  • Turn product requirements into testable performance specs and the verification plans that prove them.
  • Integrate the whole thing across algorithms, electrical, embedded, mechanical, software, data,…
Position Requirements
10+ Years work experience
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