Senior Software Engineer, TorchTPU

Job description

info_outline About the job Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

The Core ML team contributes to frameworks and compilers that support the Google Cloud Platform (GCP) Cloud TPU service and related ML models/frameworks. It provides ML infrastructure customers (both external and internal to Google) with large-scale, cloud-based access to Google’s first-party ML supercomputers (TPUs and TPU Pods) to run training and inference workloads using PyTorch and JAX. The PyTorch TPU team is responsible for the PyTorch ML framework/processes/ecosystem/model performance, as well as engagements with customers who take advantage of Google’s TPUs to achieve massive scale and speed in their ML workloads.