Senior Software Engineer, Health and Home Infrastructure
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Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in C++.
3 years of experience designing, building, and operating large-scale ML infrastructure and distributed systems.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical field.
Experience in one or more of the following: Java, Go, Python, Kotlin.
Experience in architecting scalable machine learning pipelines, from data set management to automated model training.
Experience in performing deep-dive forensics on distributed systems to root-cause failures across multiple languages and frameworks.
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 users' interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
Build machine learning infrastructure for large‑scale model training and evaluation.
Provide streamlined horizontal workflows for product change management with easy‑to‑use developer APIs.
Improve and maintain our infrastructure for smooth operation and minimal toil.
Build data processing pipelines that power debugging and analytics.
Drive platform unification and simplicity.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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