Health Sensing Engineer

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Artificial Intelligence (AI) Programming Languages, Cloud Computing, Computer Engineering, Computer Science, Deep Learning, Digital Signal Processing (DSP), Electrical Engineering, Electricity, English Language, Equal Employment Opportunity (EEO), Federal Government, Field Sales, Genetics, Government, High Throughput, Japanese Language, Machine Learning, Marketing, Medical Equipment, Network Architecture/Engineering, Operations Management, Optical Engineering, Optical Networking, Optics, Physics, Physiology, Product/Service Launch, Program Planning, Project/Program Management, Radio Frequency, Recruiting/Staffing Agency, Regulatory Requirements, Security Architecture, Signal Processing, Simulation, Software Engineering, Startup, Statistics, Supply Chain Management, Technical Leadership, Technical Support, Telecommunications, Testing, User Interface Design
LOCATION
Mountain View, CA
POSTED
30+ days ago

Health Sensing Engineer - Google Careers

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Health Sensing Engineer

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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