Software Engineer III, Vertex Core Infrastructure, Cloud AI

Google

Sunnyvale (CA)

On-site

USD 147,000 - 211,000

Full time

14 days+

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Job summary

Google - Sunnyvale, CA is seeking a Software Engineer III for Vertex Core Infrastructure in Cloud AI. This mid-level role focuses on building infrastructure that powers Vertex AI products, including Gen AI, Agent, Document AI and Vision AI, with emphasis on security and enterprise readiness.

You will work on foundational infrastructure enabling advanced security, access control, and compliance features while collaborating across teams to deliver scalable AI solutions at Google scale.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development 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.
  • Experience building software for data privacy or security.
  • Experience in AI/ML related engineering, developing, deploying, managing, and maintaining Machine Learning infrastructure.

Responsibilities

  • Write product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Design and implement changes to make Vertex AI products more enterprise-ready (customer managed encryption key, access transparency, etc) in order to unblock customers in certain industries (e.g. financial industry, healthcare)
  • Lead, design, review and implement business critical infra for Vertex AI products.
  • Build Vertex AI into the full lifecycle of customer's machine learning workflows by improving interoperability within multiple Vertex AI products and with other GCP/non-GCP services.

Skills

Software development
Distributed systems
AI/ML engineering
Data privacy/security
Algorithms/data structures

Education

Bachelor’s degree or equivalent practical experience
Master’s degree or PhD in CS or related field

Job description

Software Engineer III, Vertex Core Infrastructure, Cloud AI

Google - Sunnyvale, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development 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.
  • Experience building software for data privacy or security.
  • Experience in AI/ML related engineering, developing, deploying, managing, and maintaining Machine Learning infrastructure.
Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures or algorithms.
  • Experience developing accessible technologies.
About the job

In this role, you will build infrastructure that powers many Vertex AI products and solutions, including Gen AI, Agent, Document AI, Vision AI etc. Also, you will build foundational infrastructure to make Vertex AI more enterprise ready by providing advanced security and compliance features (e.g., access control, auth, security horizontals).

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities
  • Write product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Design and implement changes to make Cloud AI products more enterprise-ready (customer managed encryption key, access transparency, etc) in order to unblock customers in certain industries (e.g. financial industry, healthcare)
  • Lead, design, review and implement business critical infra for Vertex AI products.
  • Build Vertex AI into the full lifecycle of customer's machine learning workflows by improving interoperability within multiple Vertex AI products and with other GCP/non-GCP services.

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.

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