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# CPU Performance Architect

- **Company:** Google LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $163,000.0 - $237,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, ARM Architecture, C++ (Programming Language), Computer Engineering, Device Drivers, Python (Programming Language), Linux Kernel, Scripting, Information Technology
- **Published:** July 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=dd44fea089a99a96

## About the Role

* Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
 * 8 years of experience with performance analysis, microarchitectural bottleneck isolation, and workload characterization.
 * Experience with C/C++ for architectural modeling and scripting languages (specifically Python) for data analysis and automation frameworks., * Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
 * Experience with the ARM instruction set architecture (ISA) and ecosystem.
 * Experience characterizing and optimizing mobile or client platform power/performance and thermal management states (e.g., DVFS).
 * Understanding of low-level system software components, including the Linux kernel, device drivers, power management frameworks, and runtimes.

## Description

* Lead deep-dive microarchitectural analysis on silicon to isolate and quantify pipeline stalls, memory hierarchy bottlenecks, and instruction-level inefficiencies to drive root-cause resolution.
 * Design, build, and execute advanced power and performance experiments on physical silicon to rigorously correlate pre-silicon projections with post-silicon reality across general-purpose and AI/ML compute workloads.
 * Develop and maintain early-stage power and performance models to evaluate complex architectural "what-if" scenarios, driving hardware-software co-optimization.
 * Partner closely with lead CPU architects and cross-functional teams to define dynamic, realistic power and performance goals for future Google silicon.

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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