SoC Performance Architect, Silicon

Contenuto del lavoro

Google welcomes people with disabilities.

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, a related field, or equivalent practical experience.
• Experience in computer architecture (e.g., core, cache, memory).
• Experience in performance analysis, tools, or simulators at different abstraction levels (e.g., Cycle Accurate, Transaction Level Modeling (TLM), or Functional).
  
  

Preferred qualifications:

• Master’s degree or PhD in Computer Science, Electrical Engineering, or a related field.
• Experience in designing/implementing or validating RTL for CPU, GPU, DSP, AI, Fabric, Memory, Caches, Camera, Video, Display.
• Experience with Android profiling tools.
• Experience in scripting language.
• Experience in designing C/C++/SystemC models.
• Knowledge of software/hardware system flows for device use cases.
  
  

About The Job

Our computational challenges are so big, complex and unique we can’t just purchase off-the-shelf hardware, we’ve got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google’s services. As a Hardware Engineer, you design and build the systems that are the heart of the world’s largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

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

• Perform pre-silicon performance evaluation and validation and simulation using C/C++ and RTL-based models.
• Perform analysis results in both qualitative and quantitative fashion effectively.
• Create tools/scripts to automate test suites and models to improve functionality of simulators.
• Participate in evaluation of future ASIC designs and general architecture.
  

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 .