Software Engineer III, Vertex Core Infrastructure, Cloud AI

Google; Town of Montana (WI); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google is seeking a Software Engineer III to build infrastructure powering Vertex AI products, including Gen AI, Agent, Document AI and Vision AI. The role focuses on enterprise-grade security and access controls to enable scalable AI infrastructure across Google Cloud.

You will design, review, and implement critical infra for Vertex AI, collaborating with teams to integrate ML workflows and ensure interoperability across Vertex AI products and GCP services.

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.

Responsibilities

• Write product or system development code.
• Participate in or lead design reviews with peers and stakeholders to decide among 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.

Skills

Software development

Distributed systems

Data privacy/security

AI/ML engineering

Data structures & algorithms

Education

Bachelor's degree or equivalent

Job description

Software Engineer III, Vertex Core Infrastructure, Cloud AI

Location: Sunnyvale, CA, USA

Experience Level: Mid

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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 and 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.

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

US Salary

$147,000 - $210,000 (USD) + 15% bonus target + equity + 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 among 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.

Additional Information

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: Mid

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