Minimum qualifications: Bachelor\'s degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8 years of experience working with GPU, DSP, or AI Silicon architecture, memory subsystem architecture, or System Architecture. Preferred qualifications: Master\'s degree or PhD in Computer Science, Electrical Engineering, or a related field. Experience in Mobile SoC Architecture and System Software Architecture. Experience in System Hardware-Software Design for Power, Performance and Thermal. Knowledge of Large Language Model (LLM). Knowledge of programming in Python, C, or C++. 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. The Devices and Services, Silicon Software team has the long-term charter to develop software for a variety of custom silicon, including IP for many diverse applications. In this role, you will be developing software across many domains. 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 Understand the Silicon Hardwareand Softwarearchitecture, design and implementation of a SoC . Understand Softwareworkloads and utilize the available compute engines on the Silicon. Define and validate key performance metrics (KPIs) and power goals for workloads, develop tools required for Power and Performance Analysis. Engage with System Architects and Software teams to define and validate Hardware/Softwarespecifications. Engage with Verification and Validation teams to ensure KPIs are met.
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