Biosensor Algorithm Engineer – San Jose, US

2 days ago


San Jose CA United States Neurosky, Inc. Full time

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We are looking for a research engineer with solid signal processing and programming skills. You will be working with a world-class team of algorithm scientists and engineers to bring up next-generation human machine interface for the consumer mass market.

Background

NeuroSky is a leading wearable sensor technology company. Our award-winning sensors enable the monitoring of EEG, ECG, motion and other bio-signals in a very user-friendly way, and our advanced data processing and analysis solutions are empowering numerous exciting applications.

Responsibilities

  • Design, develop and prototype algorithms for electrophysiological signals in numerical analysis languages: Matlab, Python, C/C++.
  • Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation.
  • Write technical reports summarizing development, analysis, training and validation of the algorithms.
  • Implementation, testing and supporting of algorithm prototypes in C/C++.
  • Provide presentations to the management and cross-functional teams. Summarize new ideas in patent applications.

Basic Qualifications

  • Familiarity with signal processing, especially for biosensors. Knowledge of statistical analysis and machine learning.
  • Solid programming skills in one or more: Matlab, C/C++, Python, or other numerical analysis languages.
  • Education: Master’s degree or above in biomedical, applied mathematics, computer science, engineering, or related areas.

Additional Preferred Qualifications

  • History of publications in related fields.
  • Previous programming projects on data analysis algorithms / signal processing.
  • Strong Matlab and C programming skills.
  • Knowledge of algorithm optimization for embedded systems.
  • Experience with real-time signal processing.

To apply, please send your resume to with a cover letter explaining your relevant experience and skills.

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