Health Sensing Engineer

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.

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.

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.