Cloud Infrastructure Engineer, HPC, TPU, Google Public Sector

Google

Reston (VA)

On-site

USD 152,000 - 221,000

Full time

28 hours ago
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Job summary

Google Cloud Platform team is hiring to design and deliver HPC solutions at scale, enabling customers to run demanding workloads securely and reliably in Google Cloud. The role emphasizes infrastructure-as-code, automation, and deep integration with GCP APIs and tools like GKE.

You will work with distributed systems, optimize performance end-to-end, and apply AI insights across health-care, finance, or manufacturing domains. Public sector security/compliance familiarity is a plus.

Qualifications

  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 6 years of software development experience in C++, Python, Java or similar.
  • 6 years HPC system architecture and applications experience.
  • 6 years testing, launching software products, and with software design/architecture.
  • Active Secret security clearance.

Responsibilities

  • Understand customers' computing goals and generalize into repeatable cloud patterns.
  • Implement HPC solutions as infrastructure-as-code and deployment tooling.
  • Collaborate with technical leads, product managers, and partner service engineers to deliver high-quality features.
  • Serve as a technical advisor and troubleshoot tests for customers.
  • Provide remote and on-site support for deployment of new cloud capacity and technologies.

Skills

C++
Python
Java
HPC expertise
Active Secret clearance

Education

Bachelor's degree in Computer Science or equivalent

Tools

Google Kubernetes Engine (GKE)
Containerization/orchestration

Job description

Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.

Minimum qualifications
  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 6 years of experience in software development in C++, Python, Java or similar.
  • 6 years of experience in High Performance Computing (HPC) system architecture and applications.
  • 6 years of experience testing, and launching software products, and with software design and architecture.
  • Must possess an active Secret security clearance.
Preferred qualifications
  • Experience in delivering solutions that meet public sector security and compliance requirements such as FedRAMP, DoD Impact Levels, or Risk Management Framework.
  • Knowledge of containerization and container orchestration technologies such as Google Kubernetes Engine (GKE).
About The Job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware.

Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

Our mission is to enable our customers to run their most demanding workloads for technical, scientific, and engineering tests on Google Cloud Platform (GCP). For these High Performance Computing (HPC) requirements, we offer supercomputer-class infrastructure (e.g., CPUs, GPUs, or TPUs) that interoperates with other cloud services, from storage to AI.

In this role, you will define and implement reference systems and use-case-focused HPC solutions. You will do this through a combination of infrastructure-as-code and automation modules that integrate with various (GCP) APIs and tools, such as Google’s cluster toolkit. You will be working with distributed systems and will understand how to extract performance across the stack (from hardware architecture to application). You will apply computational experience in health-care or life science, financial services industry, or manufacturing, including an understanding of AI.

Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

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

US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

  • Understand our customers current and future computing goals and generalize them into repeatable usage patterns and adequate cloud architecture.
  • Implement specific HPC solutions as infrastructure-as-code and necessary deployment tooling functionality.
  • Work closely with technical leads, product managers and partner service engineering teams to get high-quality features through the software project life-cycle.
  • Serve as a technical advisor and perform troubleshooting to resolve technical tests for customers.
  • Provide both remote and on-site support for the deployment of new cloud capacity and technologies.

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 .

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