Staff Software Engineer, Vertex Core Infra, Cloud AI

Google; Town of Montana (WI); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Staff Software Engineer for Vertex Core Infra in Cloud AI. Sunnyvale, CA coordination with Vertex AI products requires deep cloud and infrastructure expertise, including securing multi-region systems and compliance.

You will influence senior stakeholders and own architectural outcomes. Ideal candidates have extensive experience with distributed systems, large-scale services, and AI infrastructure patterns, and will drive reliability and scalability across Google Cloud AI

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or Large Language Model interfaces into workflows.
• Experience with Kubernetes, C++, and Go programming.
• Experience working with Apps Framework, Distributed Systems, Spanner, Google Cloud Platform, One Platform, and Compliance.

Responsibilities

• Lead, design, and implement business-critical Infra for Vertex AI products.
• Solve complex backend system problems to address bottlenecks for system scalability and reliability.
• Drive implementation to meet security and compliance requirements to unblock customers in industries such as finance and healthcare.
• Work closely with other AI initiatives within Google, including Gemini serving, Partner MaaS, Agents.
• Build Vertex AI into the full lifecycle of customers' ML workflows and improve interoperability with multiple Vertex AI products and external services.
• Learn and apply emerging AI infrastructure patterns to build a foundation for Vertex AI.

Skills

Kubernetes

C++

Go

Distributed systems design

Data structures & algorithms

AI/LLM integration

Education

Bachelor's degree or equivalent

Master's degree or PhD preferred

Tools

Spanner

GKE

Compute Engine

IAM

OnePlatform

Job description

Staff Software Engineer, Vertex Core Infra, Cloud AI

Location

Sunnyvale, CA, USA

Experience Level

Advanced

Advanced experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.
• Experience with Kubernetes, C++, and Go programming.
• Experience working with Apps Framework, Distributed Systems, Spanner, Google Cloud Platform, One Platform, and Compliance.

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.
• 3 years of experience with distributed system design of infrastructure software.
• Experience building or operating large-scale services on Google Cloud Platform (GCP), specifically leveraging technologies like Spanner, IAM, OnePlatform, GKE, or Compute Engine, and familiar with Compliance requirements such as CMEK and Wipeout.
• Track record of solving ambiguous infrastructure problems, such as system performance bottlenecks or multi-region availability.
• Motivated Tech Lead (TL) who is passionate about building reliable, scalable foundation infrastructures that powers many AI products.

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.

Build infrastructure that powers many Vertex AI products and solutions, including Gen AI, Agent, Document AI, Vision AI, etc. Build foundational infrastructure to make Vertex AI more enterprise-ready by providing reliable and scalable infrastructure and advanced security and compliance features (e.g., access control, auth, security horizontals).

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US Salary Range

$207,000 - $300,000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Lead, design, and implement business-critical Infra for Vertex AI products.
• Solve complex backend system problems to address bottlenecks for system scalability and reliability, adapting the system to rapid business growth.
• Drive implementation to make Cloud AI products meet security and compliance requirements in order to unblock customers in certain industries (e.g., financial industry, healthcare).
• Work closely with other AI initiatives within Google, including Gemini serving, Partner MaaS, Agents.
• Build Vertex AI into the full lifecycle of customers' machine learning workflows by improving interoperability within multiple Vertex AI products and with other GCP/non-GCP services (e.g., Kaggle, HuggingFace, TFHub).
• Learn and apply emerging AI infrastructure patterns (e.g., model lifecycle automation) to build a foundation for Vertex AI.

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.

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.

Locations

• Location: Sunnyvale, CA, USA

Experience Level

Advanced

Advanced experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.