Minimum qualifications:
* Bachelor's degree or equivalent practical experience.
* 8 years of experience with software development in C++.
* 5 years of experience designing, building, and operating large-scale ML infrastructure and distributed systems.
* 3 years of experience with software design and architecture and technical leadership.
Preferred qualifications:
* Master's degree or PhD in Engineering, Computer Science, or a related technical field.
* 8 years of experience with data structures and algorithms.
* Experience in one or more of the following: Java, Go, Python, Kotlin.
* Experience in performing in-depth "forensics" on distributed systems to root-cause complex failures across multiple languages and frameworks.
* Experience in architecting machine learning pipelines, from data set management to automated model training.
* Ability to drive product evolution through A/B testing and metric analysis.
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.
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 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
* Lead and mentor an engineering team while maintaining the ability to engage in high-level technical execution as an individual contributor to execute complex projects.
* Architect and re-design Home the platform, specifically building large-scale machine learning infrastructure for model training, evaluation, and seamless product integration.
* Drive platform unification by building easy-to-use Application Programming Interface (APIs) and developer-facing tools that remove friction.
* Build and maintain data processing pipelines to power debugging and analytics, ensuring high engineering quality and minimal operational toil across all systems.
* Identify and resolve systemic bottlenecks in the development lifecycle, implementing metrics and processes that simplify the platform and foster a culture of engineering excellence.