Senior CPU Architecture and Performance Architect at Google
Mountain View, California, USA -
Full Time


Start Date

Immediate

Expiry Date

14 Nov, 25

Salary

271000.0

Posted On

14 Aug, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Correlation, Computer Science, Scripting Languages, Computer Engineering, X86, Computer Architecture, Microarchitecture, Linux, Architecture, Workload Characterization, Design

Industry

Information Technology/IT

Description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Austin, TX, USA; Portland, OR, USA; Poughkeepsie, NY, USA.

MINIMUM QUALIFICATIONS:

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 10 years of experience in high-performance microprocessor architecture, microarchitecture, performance and design.
  • Experience in high-performance CPU architecture and CPU blocks.
  • Experience in performance modeling, analysis, correlation, and workload characterization.
  • Experience with C/C++ and scripting languages.

PREFERRED QUALIFICATIONS:

  • Master’s degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Experience with system software components, such as Linux, drivers, and runtime.
  • Knowledge with processor instruction set architecture (e.g., ARM, RISC-V, x86).

How To Apply:

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Responsibilities
  • Deliver solutions to complex problems that may be ambiguous or lacking clear precedent. These problems include CPU performance, microarchitecture design, tool infrastructure, and methodology.
  • Plan, drive, and evaluate ARM’s architecture features from both architecture and performance angles.
  • Define and write CPU subsystem architecture specifications.
  • Lead the collaboration with RTL, design verification, and physical design teams to develop a high performance and efficient CPU implementation.
  • Drive performance correlation between the performance model and RTL implementation and perform pre-silicon and post-silicon performance bug triage.
    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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