SOC Power Architect, Silicon

작업 내용

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Minimum qualifications:

• Master’s degree in Computer Engineering/Science, with an emphasis on computer architecture, software, algorithms, artificial intelligence, machine learning and power management.
• Experience in software coding to modify and prototype algorithms (TensorFlow, TensorFlow Lite, PyTorch, C/C++).
• Experience on activity profiling and analysis (traces from power measurement, performance monitoring counters, events, and interrupts).
  
  

Preferred qualifications:

• PhD in Computer Engineering/Science, with an emphasis on computer architecture, software, algorithms, AI (artificial intelligence), ML (machine learning), and power management.
• Experience on power/performance optimization of Android systems.
• Experience on SOC or/and software architectures, designs, implementations (especially, DVFS, power management, resource management, QoS, power/performance efficiency, load and latency reduction).
• Experience on Power Management, Hardware or Software Architecture of AI accelerator, memory-path and SOC system.
• Track record of SOC problem identification, analysis, creative solutions, and project impacts.
  
  

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

• Architect highly power-efficient hardware and software for AI (artificial intelligence)/ML (machine learning) use cases.
• Analyze the current SOC/OS/SW/use cases and identify inefficiency areas in power management.
• Invent new architecture and feature solutions. Enhance existing software and hardware architectures and features for power/performance efficiency.
• Simulate or prototype the new architecture and features to quantify the expected benefits.
• Present proposals across teams and collect feedback from them. (silicon process, IP design, SOC architecture, Android OS, software, power, performance, compiler teams, AI/ML teams).
  
  

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 .