Software Engineer, Hybrid and -prem AI Infrastructure

Software Engineer, Hybrid and On-prem AI Infrastructure

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA;
Kirkland, WA, USA
.

• Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.
• 3 years of experience with systems automation, and with systems design and implementation.
• 3 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting).

• 3 years of experience working with vendors or customers.

In this role, you will build the software foundation that powers and manages this advanced hardware. You will work on a vertically integrated system, contributing to every layer of the stack. Your work will include developing services in Go/Python to automate the entire life cycle of our hardware testbeds, from initial provisioning to ongoing fleet management. You will build automation for OS installation and software deployment using custom installers like Subiquity and will solve unique engineering issues associated with managing both Google‑networked and fully air‑gapped hardware environments.

You will design and manage the databases (like Cloud

SQL) that serve as the source of truth for the state and health of thousands of machines. 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.

• Contribute significantly to the goal for the Hybrid and On‑prem Infrastructure business by assisting in defining and delivering architecture and roadmap initiatives.
• Collaborate with product and go‑to‑market leaders to implement strategies for our migrate, modernize, and workload efforts.
• Work with peer engineers and managers within Google teams and external partners to influence product and team direction.
• Partner with internal cross‑functional organizations and external vendors and partners.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.

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

Not Applicable

Full‑time

Information Technology and Engineering

Information Services and Technology, Information and Internet