Staff Software Engineer, Machine learning Performance

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.

The TPU Performance team is responsible for performance and extracting maximum efficiency for AI/ML training workloads. We drive Google Machine Learning performance using deep fleet-scale, benchmark analysis, and out of the box auto-optimizations.

We focus on performance analysis to identify performance opportunities in Google production, research Machine Learning (ML) workloads, and land optimizations to the entire fleet. Our work demonstrates Machine Learning performance on the large-scale and latest accelerators at Machine Learning Performance. We push efficiency on multipod Machine Learning models.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.