LOG IN
SIGN UP
Tech Job Finder - Find Software, Technology Sales and Product Manager Jobs.
Sign In
OR continue with e-mail and password
E-mail address
Password
Don't have an account?
Reset password
Join Tech Job Finder
OR continue with e-mail and password
E-mail address
First name
Last name
Username
Password
Confirm Password
How did you hear about us?
By signing up, you agree to our Terms & Conditions and Privacy Policy.

Staff Software Engineer, Home Infrastructure

at Alphabet

Back to all Data Science / AI / ML jobs
Alphabet logo
Industry not specified

Staff Software Engineer, Home Infrastructure

at Alphabet

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 18 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Zurich
Country
Switzerland

Google seeking a Staff Software Engineer for the Home Infrastructure team in Zurich to build and maintain the software infrastructure powering Home products used by millions. You will lead and mentor an engineering team while also contributing as an individual contributor on complex ML infrastructure and large-scale distributed systems. Responsibilities include designing the platform, building large-scale ML training and evaluation pipelines, and creating developer-friendly APIs and tooling to reduce operational toil. This role emphasizes ownership of outcomes, architecture, and cross-functional collaboration to push the platform forward.

Staff Software Engineer, Home Infrastructure

  • Copy link
  • Email a friend
GoogleZürich, Switzerland
Advanced
  • Copy link
  • Email a friend

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

Staff Software Engineer, Home Infrastructure

at Alphabet

Back to all Data Science / AI / ML jobs
Alphabet logo
Industry not specified

Staff Software Engineer, Home Infrastructure

at Alphabet

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 18 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Zurich
Country
Switzerland

Google seeking a Staff Software Engineer for the Home Infrastructure team in Zurich to build and maintain the software infrastructure powering Home products used by millions. You will lead and mentor an engineering team while also contributing as an individual contributor on complex ML infrastructure and large-scale distributed systems. Responsibilities include designing the platform, building large-scale ML training and evaluation pipelines, and creating developer-friendly APIs and tooling to reduce operational toil. This role emphasizes ownership of outcomes, architecture, and cross-functional collaboration to push the platform forward.

Staff Software Engineer, Home Infrastructure

  • Copy link
  • Email a friend
GoogleZürich, Switzerland
Advanced
  • Copy link
  • Email a friend

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

SIMILAR OPPORTUNITIES

No similar jobs available at the moment.