Health Sensing Engineer

Google

Mountain View, CA

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JOB DETAILS

JOB TYPE

Full-time, Employee

SKILLS

Artificial Intelligence (AI), Clinical Laboratory, Clinical Research, Computer Engineering, Computer Science, Deep Learning, Digital Signal Processing (DSP), Electrical Engineering, Electricity, Equal Employment Opportunity (EEO), High Throughput, Laboratory Techniques, Machine Learning, Medical Equipment, Optics, Physics, Physiology, Radio Frequency, Regulatory Requirements, Signal Processing, Simulation, Statistics, Testing

LOCATION

Mountain View, CA

POSTED

3 days ago

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

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

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 share 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 benefits at Google.

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the Company

Google

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