Software Engineer, HPC, Platform Readiness, Workload Performance

Software Engineer, HPC, Platform Readiness, Workload Performance

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. In this role, you will establish the readiness of novel Google Cloud technologies, such as new virtual machine families, networking technologies and storage solutions, for their use in high performance computing use cases. You will require proficiency across the vertical stack from the bare metal hardware via virtualization technologies to applications. You will be responsible for establishing performance targets as part of the product definition and for qualifying the readiness of products for high performance computation. With your deep system expertise, you will be able to identify performance issues and drive their resolution with other involved engineering teams or third-party vendors and OSS software projects.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $197,000-$291,000 + 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.

Responsibilities

• Provide High Performance Computing (HPC) expertise and leadership to new product introductions throughout the different stages of their lifecycle, from initial requirements to product release and production.
• Establish performance expectations for cloud technology blocks through empirical measurements and modeling studies and in collaboration with other engineering teams.
• Perform systematic performance benchmarking of new cloud technology blocks such as compute, storage, and networking technologies.
• Lead performance debugging of cloud technology blocks to identify bottlenecks across the stack.
• Mitigate and resolve complex performance issues in close collaboration with other engineering teams to establish product readiness for high performance computing.

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.