Software Engineer, High Performance Computing

Software Engineer, High Performance Computing

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 AI and Infrastructure team works on the world's toughest problems, redefining what's possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We're at the center of amazing work at Google by being the "flywheel" that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.

In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.

The US base salary range for this full-time position is $141,000-$202,000 + 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.

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in high performance computing (HPC) system architecture and applications.
• 2 years of experience testing, and launching software products, and experience with software design and architecture.

Preferred Qualifications:

• Advanced degree in physics, mathematics, life sciences engineering, computer science, engineering, or a similar technical field.
• 4 years of experience in software development in C++, Python, Julia or similar programming languages used for technical/scientific/engineering computing.
• 4 years of experience in scientific computing (workflows, applications) from one or more domains (health care/life science, manufacturing (CAE, EDA, energy), financial services industry).

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.