Senior Staff Software Engineer, Full Stack

In this role you drive the sensing-model strategy for health detection using foundation models. You will partner with Research to set launch criteria and oversee metrics for accuracy, latency, battery use, cost, reliability, and privacy. You design and implement pipelines to capture wearable sensor data and lead system design across device, mobile, and backend. You mentor engineers and align Product, UX, Research, and Clinical teams to advance proactive health sensing. You will shape production-ready ML systems that scale across environments and users.

• Define and own sensing-model strategy with Research, including launch criteria across accuracy, latency, battery, cost, reliability, and privacy
• Build system health metrics, regression tests, and staged rollouts
• Develop data pipelines to capture and transport raw wearable sensor data
• Write design docs and code; lead system design across device, mobile, and backend; decide computation location
• Mentor engineers across sites; share AI approaches; align cross-functional teams on sensing strategy

• Bachelor's degree or equivalent practical experience
• 8 years of software development experience
• 7 years of full-stack development experience across back-end (Java, Python, Go, or C++) and front-end (JavaScript/TypeScript, HTML, CSS)
• 5 years of experience leading technical projects and setting technical direction
• Experience with machine learning or signal processing on sensor/time-series data (e.g., PPG, accelerometer, IMU)

• leadership
• cross-functional collaboration
• mentoring engineers across sites
• Java, Python, Go, or C++ back-end expertise
• JavaScript/TypeScript, HTML, CSS front-end experience
• machine learning or signal processing on sensor/time-series data (PPG, accelerometer, IMU)