Cloud Infrastructure Engineer, HPC, TPU, Google Public Sector

Google LLC
Reston, VA, United States
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$152,000.0 - $221,000.0
Working hours
Regular working hours
Languages
English

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Bioinformatics C++ (Programming Language) Cloud Computing Cloud Engineering Microprocessors Distributed Systems Python (Programming Language) Software Architecture Cloud Services
+9 more
Software Engineering Software Project Management Systems Architecture Graphics Processing Unit (GPU) Google Cloud High Performance Computing Containerization Kubernetes Information Technology

Job description

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 (https://about.google/intl/ALL_us/public-sector/#:~:text=We) 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

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

  • 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google’sApplicant and Candidate Privacy Policy (./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 alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

Requirements

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

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