TPU Simulator Software Engineer, Silicon

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in C++, and with data structures/algorithms.
  
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  

Preferred qualifications:

• Master's degree or PhD in Computer Science, Electrical Engineering, related technical field or equivalent practical experience, specializing in computer architecture, operating system, compilers, or hardware-software codesign.
• Experience with computer architecture.
• Experience in Simulation Modeling development using System C.
  

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, you will work with architecture team on workload performance analysis with simulator, workload performance correlation between simulator and real hardware, and codesign (i.e., how to efficiently implement a workload for Tensor TPU).

Google'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

• Support feature modeling in the machine learning accelerator simulator, including performance and functionality.
  
• Manage simulator infrastructure maintenance and improvement, including necessary code restructuring.
  
• Improve simulator performance.
  
• Provide cross-team support for both compiler and design verification activities.