Health sensing is shifting from hand-tuned heuristics to foundation models, and from reactive care after symptoms begin to proactive early detection and intervention (e.g., insulin resistance and blood pressure trends). This shift is led by research, with productionisation and quality translation driven by this role.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Drive sensing-model strategy with Research that moves health detection from heuristic algorithms to foundation models, for features like activity recognition, vitals, and health trend detection.
Define and own shared launch criteria with Research, covering accuracy, latency, battery, serving cost, reliability, and privacy.
Build system health metrics, regression tests, and staged rollouts, plus pipelines that capture and transport raw wearable sensor data.
Write design docs and code, lead system design across device, mobile, and backend, and decide where computation runs.
Mentor engineers across sites, share new AI approaches, and align Product, UX, Research, and Clinical teams on sensing strategy.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
7 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
5 years of experience leading technical projects and setting technical direction.
Experience with machine learning or signal processing on sensor or time-series data (e.g., PPG, accelerometer, IMU).
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Experience with wearables or physiological sensing (e.g., PPG, ECG, IMU, skin temperature).
Experience with foundation models or large-scale machine learning on sensor or time-series data.
Experience designing and serving ML systems across device, mobile, and cloud, including latency, battery, and capacity planning.
Experience shipping health or wellness features with high standards for data quality and privacy (e.g., GDPR, HIPAA). Experience mentoring senior engineers and influencing technical direction across organizations and sites.
Track record of taking research into production, including building evaluation frameworks and launch criteria.
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
7 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
5 years of experience leading technical projects and setting technical direction.
Experience with machine learning or signal processing on sensor or time-series data (e.g., PPG, accelerometer, IMU).
