Compiler Manager, Silicon

Minimum qualifications:
Bachelor's degree in Computer Science, Electrical Engineering or equivalent practical experience, 8 years of experience with compilers ( e-g, optimization, parallelization, etc) Experience in Multi-Level Intermediate Representation (MLIR) or Low Level Virtual Machines (LLVM), Preferred qualifications: Master's degree or PhD in Computer Science or a related field, Experience in compiling for architectures across Internet protocols (IPs) like Central Processing Unit (CPU), Graphics Processing Unit (GPU), and Neural Processing Unit (NPUs), Experience in executing program or several projects, Experience with compiler development for accelerator-based architectures, About the jobGoogle'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 Googles 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 compiler team is responsible for analysis, optimization, and compilation of machine learning modelsGoogle's mission is to organize the world's information and make it universally accessible and useful Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful We aim to make people's lives better through technology, Responsibilities Work as part of the Edge Tensor Processing Unit (TPU) compiler team, including analyzing and improving the compiler quality and performance on optimization decisions, correctness and compilation time, Develop parallelization and scheduling algorithms to optimize compute and data movement costs to execute Machine Learning (ML) workloads on the Edge TPU, Work with Edge TPU architects to design future accelerators, the hardware/software interface, and co-optimizations of the Edge TPU architectures, Work on mapping of Artificial Intelligence (AI) models and other workloads into Edge TPU instructions through the compiler, Manage a team of compiler engineers, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form , Show