R&D Engineer (FT)

Delsys•Natick, MA

About The Position

At Delsys, we develop innovative, human -centric sensing technologies that advance health science, human performance, and rehabilitation research. We are seeking an R&D Engineer who is passionate about designing algorithms that translate multi -modal data into actionable outcomes to provide new insights into human movement and physiology. As an R&D Engineer, you will contribute to the design and implementation of computer vision/signal processing methods and computational tools that transform complex human signals into meaningful, actionable information. Working in close collaboration with scientists, engineers, and clinical researchers, you will gain hands -on experience translating research into practical solutions with broad impact

Requirements

Currently pursuing or have a BS or MS in robotics, computer or electrical engineering, computer science, physics, or a related technical field.
Proficient in Python (C++ experience is a plus).
Strong problem solving and critical thinking skills.
Experience with signal processing and/or computer vision concepts and techniques.
Familiarity with machine learning (pytorch, scikit -learn) and numerical methods concepts and frameworks.

Nice To Haves

Experience with hardware platforms (NVIDIA Jetson) is a plus.
Experience with version control and CLI is a plus.

Responsibilities

Design and implement signal processing and computer vision algorithms to extract relevant features from physiological signals collected via multi -modal hardware platforms (wearable and non -contact sensing modalities).
Develop algorithms (e.g., pattern recognition, classification, or model -based methods) to characterize and track human biomechanics, physiology, speech, and motor control.
Develop metrics and error analysis frameworks to evaluate algorithm performance. Prototype, benchmark and refine algorithms to balance accuracy, speed, and efficiency.
Collaborate with a multidisciplinary team to integrate algorithms into hardware prototypes and evaluate performance in real -world applications.