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Google Switzerland

Senior Software Engineer, Health and Home Infrastructure

  • Zürich
  • 80-100%
Jetzt bewerben

Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products handle information at massive scale and extend well beyond web search. As a software engineer on the Health and Home Infrastructure team in Zurich, you will build and maintain the software infrastructure that powers products relied on by millions of people in their daily lives.

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 Google AI, software, and hardware. Teams in this area research, design, and develop new technologies to make user interaction with computing faster and more seamless, building innovative experiences for users around the world.

Your tasks

  • Advance the state of the art in preventive health care by predicting health risks, such as high blood pressure and insulin resistance, based on fitness and medical data.
  • Bring machine learning research into products by partnering with research teams.
  • Build machine learning infrastructure for large-scale model training and evaluation.
  • Improve and maintain infrastructure for smooth operation and minimal toil.
  • Build data pipelines for creating large-scale machine learning datasets of highly sensitive fitness and medical data.
  • Drive platform unification and simplicity.

What you bring

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development.
  • 3 years of experience designing, building, and operating large-scale Machine Learning infrastructure and distributed systems.
  • Master's degree or PhD in Computer Science or a related technical field (preferred).
  • Experience with software development in C++ or Python, with a strong background in systems programming (preferred).
  • Experience in architecting scalable machine learning pipelines, from data set management to automated model training (preferred).
  • Experience in performing deep-dive forensics on distributed systems to root-cause failures across multiple languages and frameworks (preferred).

About the company

Google develops technologies and products that impact billions of users worldwide, focusing on large-scale information handling and innovative user experiences.

The team

The Health and Home Infrastructure team in Zurich builds and maintains software infrastructure for products used by millions, collaborating with research teams and working across Google's platforms and devices.