Senior SoC Architect, Workload Analysis

Conteúdo do emprego

Google welcomes people with disabilities.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Xindian District, New Taipei City, Taiwan; Banqiao District, New Taipei City, Taiwan.Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Science, or equivalent practical experience
• 5 years of experience in analyzing workloads on real systems or devices
  
  

Preferred qualifications:

• Master’s degree or PhD in Computer Science, Electrical Engineering , or a related technical field.
• Experience in soft Real-time and hard Real-time debugging
• Experience in performance and power optimization
• Knowledge in one or more of these areas: Qos tuning, bandwidth and latency analysis, scheduler, DVFS governor, power state control, thermal management, device driver.
• Knowledge in one or more of these areas: CPU, GPU, ISP, Memory, Caches.
• Knowledge in hardware performance monitors or profiling, or tracing tools in Android such as systrace or trace, 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 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

• Perform thermal analysis results in both qualitative and quantitative fashion effectively
• Study the behavior and characterization of a variety of workloads on devices 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 .