Software Engineer, Workload Characterizations, Early Careers, PhD

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.As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.

As a leading cloud provider, Google hosts vast amounts of diverse workloads, from serving to batch, from standard compute to tuning ML models to large-scale ML training. These workload classes require different infrastructure properties for optimal hosting and infrastructure could be built and tuned accordingly.

In this role, you will lead the development of a classification model that clusters customer workloads into appropriate classes that summarize and express customers' intent, workloads' true constraints, and infrastructure's optimization space. You will work closely with tech leads and product managers developing products managing virtual machines (e.g., Managed Instance Groups, and higher-level offerings) and data scientists, analyzing operational data and optimizing cloud infrastructure.

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.

Responsibilities

• Analyzing and classifying workload characterizations.
• Use AI to optimize obtainability, reliability, and cost in MIGs and other surfaces.