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.

In this role as Software Engineer in the Accelerated Linear Algebra (XLA TPU team involves developing the accelerated linear algebra (XLA) tensor processing units (TPU) parallelizing compiler, which partitions, optimizes, and runs large-scale machine learning models across multiple TPUs accelerators for internal Google, Google DeepMind, and external customers. You will have expertise in C++ programming, efficient data structures and algorithms, and outstanding technical communication skills.

Responsibilities

• Write C++ code for the Tensor Processing Unit (TPU) compiler, in collaboration with Google's software development AIs.
  
• Carry out design reviews with peers and stakeholders to make appropriate engineering choices, write design documentation and present technical material clearly to the team.
• Improve the compiler, scaling machine learning models across hardware accelerators like TPUs, Graphics Processing Units (GPUs) inside Google and Cloud customers.
• Conduct static and runtime performance analysis of important large-scale production models.
• Design and implement performance optimizations and critical features, which increase the velocity of important production teams.