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 be understanding how to extract performance across the stack (from hardware architecture to application). You will be applying computational experience in health-care/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.

The US base salary range for this full-time position is $147,000-$216,000 + 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

• 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.

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 year of experience testing, and launching software products, and with software design and architecture.

• Must possess an active Top Secret/SCI 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).