Cpu Performance Architect

2 days ago

Bengaluru, India Google Full time

**Minimum qualifications**:

- Bachelor's degree in Electrical Engineering, Computer Engineering, or Computer Science, or equivalent practical experience.
- Experience with CPU architecture and microarchitecture, and subsystem integration at architectural and RTL levels.- Experience with C/C++ and scripting languages (e.g., Python).- Experience with ARM Architecture and CoreSight debug architecture.

**Preferred qualifications**:

- Knowledge of system software components, such as Linux, drivers, and runtime.
- Knowledge of standard CPU benchmarks such as SPECint 2006 and SPECint 2017.
- Knowledge of GEM5 based CPU and memory models.

**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**:

- Assess performance analysis infrastructure, which includes preparing workloads, developing performance models, and conducting performance and workload analysis.
- Participate in Performance, Power, Area (PPA) trade-off analysis for architecture and micro-architecture features.
- Communicate analysis results in qualitative and quantitative fashion to support major decisions.
- Understand performance bottlenecks and CPU performance analysis.
- Work with the RTL team to correlate the performance model with the RTL and define future roadmap features and performance requirements.

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.

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