About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Our mission is to enable our customers to run their most demanding workloads for technical, scientific and engineering issues on our Google Cloud Platform (GCP). This High Performance Computing (HPC) role offers supercomputer-class infrastructure (CPUs, GPUs or TPUs) that interoperates with other cloud services from storage to AI.

We offer a range of Virtual Machine (VM) families tailored for HPC use and innovative control plane constructs to build scalable systems. We enable our customers to create tailor-made HPC environments from cloud building blocks or derived from use case focused reference architectures. We help our customers navigate the integration of AI into computational workflows and workloads.

The US base salary range for this full-time position is $174,000-$252,000 + 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 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.

• Manage project schedules, identify technical risks and clearly communicate them to project stakeholders.

• Collaborate with Program Manager (PM) and Go-to-Market (GTM) teams to develop solution collateral (guides, whitepapers, blog posts, etc.) to onboard customers and drive adoption.

Minimum qualifications

• Bachelor's degree in Computational Science in the field of Physics, Mathematics, Life Science Engineering, or equivalent practical experience.

• 5 years of experience in scientific computing and software engineering.

• 2 years of experience in scientific and technical computing (e.g., workflows, applications) from one of the following domains: healthcare/life science, manufacturing (CAE, EDA, energy), or financial services industry.

Preferred qualifications

• Master's degree or PhD in Computational Science in the field of Physics, Mathematics, Life Science Engineering, or a similar technical field.

• 8 years of experience in scientific computing, software engineering, and high performance computing.

• 4 years of experience in scientific computing (e.g., workflows, applications) from one or more of the following domains: healthcare/life science, manufacturing (CAE, EDA, energy), financial services industry.