You will be responsible for developing advanced sensing algorithms from multichannel biosensor data. This will involve human study data analysis algorithm prototyping and assessing algorithm performance requirements. You will work cross-functionally with other engineering teams most closely with SW engineering to refine requirements develop specifications and verify on-device implementation. This is a hands-on role; you will be in the lab collecting data and testing algorithm prototypes in real time as well as analyzing larger data sets offline.
BS in Electrical Engineering Applied Math or Physics or related field
Background in image/signal processing estimation/inference or machine learning
Engineering math background (e.g. applied linear algebra probability)
Programming skills in high level languages like Python/Matlab
10 years of relevant industry experience
MS or PhD in Electrical Engineering Applied Math or Physics or related field
Multi-disciplinary understanding of statistical analysis and optical physics principles
Skilled in training/validation for algorithm features using sensor data and establishing quantitative algorithm performance benchmarks
Knowledge of algorithm optimization for HW constraints (compute memory power)
Familiarity with analyzing large datasets and developing data processing pipelines
Experience with measuring interpreting and debugging human physiological signals
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