Software Engineer III, Tensor Processing Units Compiler

Google London, UK

• Bachelor's degree or equivalent practical experience.
• 2+ years of experience with software development in one or more programming languages.
• 2+ years of experience with computer architecture, performance analysis, and performance modeling.
• 2+ years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
• 1+ year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

• Master's degree or PhD in Computer Science or related technical fields.
• 2+ years of experience with data structures and algorithms.
• Experience optimizing distributed programs at large scale and experience with compilers and compiler construction.
• Experience in machine learning and high performance computing (HPC).
• Excellent debugging and programming concurrent/parallel computations, and working on accelerators including very long instruction word (VLIW) and vector machines, GPUs, or digital signal processors (DSPs).

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 grows 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 engineers who are versatile, display leadership qualities, and are enthusiastic to take on new problems across the full stack as we continue to push technology forward.

In this role, you will be part of the Accelerated Linear Algebra (XLA) TPU team developing the XLA tensor processing unit compiler, which parallelizes and optimizes large scale machine learning models across multiple TPUs. You will have expertise in C++ programming, efficient data structures and algorithms, and outstanding technical communication skills.

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.

• Write C++ code for the Tensor Processing Unit (TPU) compiler, collaborating with Google's software development teams.
• 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 and GPUs for internal and external customers.
• Conduct static and runtime performance analysis of large scale production models.
• Design and implement performance optimizations and critical features that increase the velocity of important production teams.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.