Compiler Manager, Silicon

QualificationMinimum qualifications:

• Bachelors 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:

• Masters 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.

DescriptionGoogles 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. Were 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 models.Googles mission is to organize the worlds 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 peoples 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.

Summary

• Bachelors 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).

Information :

• Company : Google
• Position : Compiler Manager, Silicon
• Location : Bangalore, Karnātaka
• Country : IN