Health Sensing Engineer

Health Sensing Engineer corporate_fare Google place Mountain View, CA, USA bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience. 4 years of experience working in a consumer devices health sensing technical environment. Experience with one or more of the following sensors: optical sensors, lasers, MEMS, temperature, RF, or chemical sensors.

Preferred qualifications:

Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP). Experience in machine learning frameworks, statistical analysis, and signal processing for high-throughput health data. Experience with clinical and laboratory research methodologies, including study design and SaMD regulatory requirements. Track record in developing sophisticated health systems with a focus on human physiology and advanced modeling. About the job The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about . Responsibilities Use simulation tools to develop models of tissue-light interaction, thermal behavior, and other bodily responses. Develop and implement machine learning/deep learning models for interpreting health-related data from wearable sensors. Design user studies and collaborate with clinical professionals to validate sensor accuracy, particularly for Software as a Medical Device. Extract significant insights from high-throughput time-series health data. Design, build, and validate new wearable sensors (e.g., optical, electrical, thermal); implement benchtop set up in Lab and also on-body testing for sensor evaluation across user populations.