Software Engineer III, Infrastructure, RankEmbed

Google Inc.; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Google Inc. is seeking a Software Engineer III for the RankEmbed infrastructure to help scale and optimize serving and indexing components.

You will work on high‑throughput systems, collaborate with SREs, and contribute to deployment strategies across teams to meet demanding latency targets. The role emphasizes designing robust rollout plans, analyzing bottlenecks, and improving ML infrastructure alongside other engineers in a fast-paced environment.

Qualifikationen

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development with C++ or 1 year with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Aufgaben

• Work on RankEmbed’s serving and indexing infrastructure that is currently serving millions of QPS at a low latency -- identify bottlenecks and deploy robust solutions.
• Design, implement and execute a robust rollout plan for the multiple components involved in RankEmbed’s model refreshes.
• Collaborate with SREs and Core on designing and implementing best practices to improve the existing ML infrastructure.
• Work with clients inside and outside of Search to understand their requirements and define their deployment strategy.
• Evaluate and analyze the performance of the various infrastructure components to identify their limitations and avenues for improvement.

Kenntnisse

C++

Distributed systems

Large-scale infrastructure

Ausbildung

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Tools

Flume

Pod

Scaffolding

Jobbeschreibung

Software Engineer III, Infrastructure, RankEmbed

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X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development with C++ or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
  
• Experience with caffolding, Pod, and Flume.
• Experience debugging bottlenecks using profiling toolsand optimizing performance.

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.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

• Work on RankEmbed’s serving and indexing infrastructure that is currently serving millions of QPS at a low latency -- identify bottlenecks and deploy robust solutions.
• Design, implement and execute a robust rollout plan for the multiple components involved in RankEmbed’s model refreshes.
• Collaborate with SREs and Core on designing and implementing best practices to improve the existing ML infrastructure.
• Work with clients inside and outside of Search to understand their requirements and define their deployment strategy.
• Evaluate and analyze the performance of the various infrastructure components to identify their limitations and avenues for improvement.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.