EMG and biomechanical sensors for movement research and clinical applications
Delsys manufactures wearable electromyography (EMG) and biomechanical sensors for movement research, operating a mixed hardware-software stack (C#, Java, React, Python, PyTorch) alongside embedded systems work (CUDA, NVIDIA Jetson). The company is actively prototyping next-generation sensors and building ML-driven signal processing pipelines while scaling manufacturing—a hiring mix weighted toward interns and junior engineers suggests they're ramping production capacity and onboarding depth in both firmware and data science.
Delsys designs and manufactures high-performance EMG sensors and physiological measurement instruments used in movement research, clinical diagnostics, and biomechanics labs across 85 countries. Founded in 1993, the company has focused on solving technical challenges inherent to wearable sensors: signal artifact reduction, crosstalk minimization, and reliability in field conditions. Products span wired and wireless sensors, amplifiers, and software platforms for real-time data acquisition and analysis. The customer base includes thousands of researchers and educators at academic institutions and clinical facilities studying movement disorders.
Delsys uses C#, Java, JavaScript, React, and Angular for frontend/backend systems; C++, Python, PyTorch, and scikit-learn for signal processing and ML; CUDA and NVIDIA Jetson for embedded AI; and MATLAB for scientific computing and prototyping.
Active projects include next-generation wearable sensor design, machine learning and computer vision pipelines for biosignal analysis, real-time physiological metrics visualization, VR/AR application prototypes, and distributed microservices for real-time data streaming from sensors.
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