Job Description

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.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Platforms and Devices Health empowers users to live longer, healthier lives by integrating Google AI into their health and wellness journeys. We are reimagining Fitbit to create an AI-first experience anchored in actionable coaching that delivers continuous, proactive guidance for fitness, sleep, and more.

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.

Responsibilities

• 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.