Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
• 17 years of experience with CPU architecture and microarchitecture.
• Experience with performance modeling, performance analysis, and workload characterization.
• Experience with C/C++ and scripting languages (e.g., Python).
   

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, emphasizing on computer architecture.
• Experience in leading CPU performance model development, performance analysis, and workload characterization.
• Experience in microarchitecture innovation.
• Experience with ARM Architecture.
• Knowledge of system software components, such as Linux, drivers, and runtime.
   

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.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• Develop simulators and architectural models of Google's CPU.
• Collaborate with system architects, SoC and CPU architects/designers, and software and application experts to understand current and future requirements.
• Participate in architectural and design evaluation of CPU features studies.
• Perform pre-silicon performance simulation and correlate with pre and post-silicon measurements.
• Communicate analysis results qualitatively and quantitatively.