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 algorithm…
Skills: Signal Processing, Computer Vision, Python, C++, Machine Learning
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Delsys seeks highly motivated candidates to contribute to our research and development of next-generation, human-centric sensor technology. Delsys R&D Software Engineers collaborate with engineers and scientists to solve…
Skills: C#, C++, Object-Oriented Design, Full Stack Development, Windows Applications
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$85k–$110k/yr
Full-time
bachelor degree, postgraduate degree
Health Insurance, Long Term Disability Insurance, Life Insurance, Matching 401K Plan, Profit Sharing, End Of Year Bonus
Posted 48d ago
~40 hrs/week
Responsibilities
Design and implement signal processing and computer vision algorithms to extract features from multi-modal physiological signals. Develop computational tools and metrics to track human biomechanics and integrate these algorithms into hardware prototypes.
Requirements
Requires a BS or MS in robotics, computer/electrical engineering, computer science, physics, or a related field. Proficiency in Python and experience with signal processing, computer vision, and machine learning frameworks is required.
Full job description
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
Primary
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.
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.
• Experience with hardware platforms (NVIDIA Jetson) is a plus.
• Experience with version control and CLI is a plus.
Delsys is a world leader in the design, manufacture, and marketing of a broad portfolio of high performance Electromyography instruments, range of physiological and biomechanical sensors used in virtually all types of movement measurement studies in research and education.
Since our inception in 1993, we have focused on solving the engineering challenges associated with wearable EMG sensors such as low signal artifact, low cross-talk, signal reliability and signal consistency while retaining ease-of-use in any environment.
Used by thousands of researchers and educators in 85 countries worldwide, our products play a fundamental role in helping them understand and solve real-world problems associated with movement disorders.
We focus on markets where our patented parallel-bar sEMG sensors often a critical differentiator in our customers’ research emphasis on understanding and solving movement disorders problems.
We currently market a wide range of innovative products-including wired and wireless physiological and biomechanical sensors, amplifiers and software solutions that are designed to meet the needs of our broad base of customers.
Offices: 23 Strathmore Road, Natick, Massachusetts 01760, US
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