ASIC Power Management Architect, Machine Learning, Silicon

Jobinhalt

Google welcomes people with disabilities.

Minimum qualifications:

• Master’s degree in Software, Computer Engineering, Computer Science, or equivalent practical experience.
• Experience coding with AI/ML to process use case activity data.
• Experience with SOC activity profiling and analysis of data from performance monitoring units.
  
  

Preferred qualifications:

• Experiences on SOC problem identification, analysis, creative solutions, and project impacts.
• Experience on power/performance of Android systems.
• Knowledge of SOC or software architectures, designs, implementations (e.g., DVFS, power management, resource management, QoS, power/performance efficiency, load and latency reduction).
• Ability to interpret and modify current power management algorithms (e.g., C/C++, Linux, Python, TensorFlow).
  
  

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.

With your technical expertise, you lead projects in multiple areas of expertise (i.e., engineering domains or systems) within a data center facility, including construction and equipment installation/troubleshooting/debugging with vendors.

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

• Work with power-efficient software architectures and flows for mobile use cases.
• Analyze the current SOC, software, use cases, and identify inefficiency areas.
• Invent power and performance management algorithms based on AI/ML (Machine Learning).
• Prototype software features to quantify power and performance benefits in various use cases.
• Present proposals across teams and collect feedback.
  

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 .