About OrthoIQ

OrthoIQ is an MIT-founded medical technology startup developing intelligent surgical tools for orthopedic procedures. Our systems provide real-time sensing and feedback to surgeons, helping improve implant fixation, reduce complications, and improve surgical outcomes.

We are building a new class of smart orthopedic instrumentation, combining mechanical systems, sensing, and data to bring intelligence into the operating room.

Role Overview

We are seeking a Sensing & Signal Processing Engineering Intern to develop sensing and detection algorithms for our next-generation orthopedic surgical tools.

This is a highly experimental role spanning sensor selection, test design, data collection, signal processing, and algorithm development. You will work with physical prototypes and real sensor data to investigate methods for detecting clinically meaningful events during orthopedic impaction.

Responsibilities

• Select, characterize, and integrate force/load and other candidate sensors

• Design experiments and collect synchronized sensor and ground-truth data

• Develop data-acquisition and analysis workflows

• Analyze signals using filtering, FFT/frequency-domain, time-domain, and other signal-processing techniques

• Develop data-labeling and feature-engineering approaches

• Explore statistical, ML, and classification methods for detecting implant seating and stop conditions

• Validate algorithm accuracy, robustness, repeatability, and failure modes

• Characterize computational requirements including sampling rate, memory, execution time, and latency

• Develop analysis and prototyping tools in Python and/or MATLAB

• Document experimental methods, results, and design recommendations

Desired Qualifications

• Pursuing or recently completed a BS/MS in Electrical Engineering, Biomedical Engineering, Robotics, Computer Engineering, or a related field

• Coursework or project experience in signal processing, controls, instrumentation, data science, or machine learning

• Experience with Python and/or MATLAB

• Familiarity with sensors and data-acquisition systems

• Experience analyzing experimental time-series data preferred

• Hands-on prototyping or laboratory experience

• Familiarity with microcontrollers or embedded systems is a plus, but not required

• Comfortable independently solving open-ended technical problems in an early-stage startup environment

What You'll Gain

• Ownership of sensing R&D that directly informs product development

• Experience developing algorithms from raw physical sensor data

• Hands-on experience designing and running experiments on medical-device prototypes

• Exposure to regulated medical-device development

• Experience translating research algorithms into requirements for embedded implementation

• Close collaboration with experienced engineers and orthopedic surgeons

Application:

Please apply on Handshake. A portfolio (doesn’t have to be polished, can even be a slide deck!) is highly recommended. We want to see pictures of what you’ve built!