R&D Engineer – Sensor Data Analysis

Delsys Incorporated; Natick (MA); On-site; USD 80,000 - 120,000; Full time

Job summary

Delsys is seeking an R&D Engineer to develop advanced neural processing systems. The role involves designing machine learning pipelines and collaborating with a team to create software solutions for studying bio-signals. Ideal candidates will have a strong programming background and relevant degree in engineering or data science.

Qualifications

• Fluent in Python, C, C++, C#.
• Strong object-oriented design skills.
• Working knowledge of signal processing.
• Experience with time series signals.

Responsibilities

• Design and implement machine learning and computer vision pipelines.
• Translate research algorithms into commercial products.
• Collaborate to deliver sound software.
• Develop distributed microservices for real-time applications.

Skills

Python

C

C++

C#

Object-oriented design

Signal processing

Time series signals

Education

Undergraduate or graduate degree in biomedical engineering

Computer engineering

Computer science

Data science

Job description

Delsys is seeking highly motivated candidates to contribute to our next-generation neural processing systems. Delsys R&D Engineers collaborate with engineers and scientists to solve challenges spanning the fields of movement science & human health. The candidate for this position will primarily be involved in developing post-processing data pipelines used to study EMG and other bio-signals from multi-channel array sensors.

Responsibilities

• Design and implement machine learning and computer vision pipelines that directly contribute to our core research
• Translate proven research algorithms and solutions into commercial products
• Collaborate on a team to deliver sound and vetted software
• Develop and deploy distributed microservices for real-time applications

Qualifications

• Fluent in Python, C, C++, C#
• Strong object-oriented design skills
• Working knowledge of signal processing
• Experience working with time series signals
• Be currently enrolled in or have completed an undergraduate or graduate degree in biomedical engineering (signal processing and coding background) computer engineering, computer science, data science (signal processing background) or a similar degree program