Machine Learning Compiler Software Engineer, TPU Horizontal Scaling

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• Candidates will typically have 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
  
• Typically 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  
• Typically 3 years of experience with performance, systems data analysis, visualization tools, or debugging.
  

Preferred qualifications:

• Master's degree or PhD in Computer Science, or related technical fields.
  
• Experience in compilers.
  
• Experience in C++.
  
• Experience optimizing programs at distributed scale.
  

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.

Our team develops the XLA TPU/GPU parallelizing compiler used to partition, optimize, and run large-scale machine learning models across multiple TPU/GPU accelerators for internal and external customers. The Accelerated Linear Algebra (XLA) Horizontal Scaling team’s software stack includes the XLA Single Program Multiple Data (SPMD) practitioner, collective and scheduling optimizations, and code generation.

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.

Responsibilities

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide between available technologies.
• Contribute to a compiler which scales-out machine learning models across accelerators such as TPU/GPU at Google and Cloud.
  
• 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.