Senior Experience Use Case Power System Engineer

Conteúdo do emprego

Google welcomes people with disabilities.

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering or equivalent practical experience.
• 3 years of experience in a use case or IP level power analysis or power modeling on SoC.
• Experience with a scripting language or spreadsheet to conduct post-processing of power data for analysis or power modeling.
  
  

Preferred qualifications:

• Master’s Degree or PhD in Electronics or Computer Engineering/Science, with an emphasis on multimedia, computing vision, ambient computing, or AI/ML.
• Experience with complete power modeling methodology and tools from the early architecture stage to the post-silicon stage.
• Knowledge of the impact of software and architectural design decisions on the power behavior of the system to maintain sustainable use experience.
• Knowledge of mobile SoC power management techniques and architecture.
  
  

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

• Define power system design to enable excellent experience use cases with advanced Google Research in AI/Machine Learning.
• Perform power modeling and analysis to derive the optimal use case level power design by working with cross-functional teams on software/hardware partition, software/hardware requirements, system flow, etc.
• Produce necessary tools, and scripting to facilitate power modeling and analysis work.
• Perform pre-silicon use case level power projection and post-silicon power correlation analysis and 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 .