ASIC Performance Architect, System Profiling and Prototyping

工作内容

Google welcomes people with disabilities.

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, or Computer Science or equivalent practical experience.
• 3 years of experience in analyzing workloads on real systems or devices.
• Experience with C, C++, or Python.
  
  

Preferred qualifications:

• Master’s degree or PhD in Computer Science, Electrical Engineering, or a related field.
• Experience in bringing up full software stacks including Android/ChromeOS, Linux drivers, applications, application automation (test drivers).
• Knowledge in one or more of these areas: CPU, GPU, ISP, Fabric, Memory, Caches, Camera, Video, Display, Security, compression, storage, clock/power gating, AVS.
• Knowledge in one or more of these areas: scheduler, DVFS governor, power state control, memory management, thermal management, device driver.
• Knowledge of hardware performance monitors or profiling, and profiling/tracing tools in Android such as systrace/ftrace, simpleperf.
  
  

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.

In this role, you will collaborate with software and hardware architects to characterize the important computing workloads. Your key responsibilities will be analyzing workloads by developing and building new tools and methodologies, and discovering opportunities for pre-silicon architecture optimization.

You will use simulation, emulation, and device profiling to build compelling analysis of important workloads. As part of this work, you will participate in the development of technology in compute, media, fabric, memory and filing associated patents.

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

• Drive performance, power, thermal analysis results in both qualitative and quantitative fashion effectively.
• Study the behavior and characterization of a variety of workloads on devices to explore opportunities for hardware/software co-optimization.
• Participate in both evaluations of future ASIC architecture and software optimization.
  
  

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 .