The Senior Software Engineer role focuses on developing AI/ML algorithms for sensor awareness in wearable devices like Google's Pixel Watch and Fitbit. The position is part of the Platforms and Devices team, which aims to enhance user interaction with technology through innovative software and hardware solutions. The engineer will work on real-time sensor fusion and biosignal monitoring, bridging the gap between research and embedded systems engineering. This role offers a unique opportunity to impact user experience through cutting-edge technology.

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in software development, with 2 years of experience delivering AI/ML algorithms for production systems.
• 3 years of experience in C or C++ for production delivery on embedded targets.
• Experience using Python for exploratory data analysis, algorithmic modeling, and prototyping.
• 3 years of experience with ML infrastructure, including model deployment and optimization.

• Design, train, and evaluate novel AI-based architectures for on-device sensor fusion and gesture recognition.
• Own the full model optimization lifecycle and apply advanced techniques to adapt deep learning models for edge inference.
• Develop and maintain high-performance, real-time constrained architecture sensor pipelines in C/C++.
• Collaborate with hardware, firmware, product, and UX teams to influence the design of next-generation health sensors.
• Serve as a technical lead and subject matter expert for on-device sensor algorithms.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.