Staff CPU Architecture and Performance Architect
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Mountain View, CA, USA; Poughkeepsie, NY, USA.
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience
- 11 years of experience in high-performance CPU/ML architecture and with one area such as ISA, ML, branch prediction, etc.
- Experience in performance modeling, analysis, and workload characterization.
- Experience with C/C++ and scripting languages.
- PhD in Electrical Engineering, Computer Engineering, Computer Science, emphasizing on computer architecture or artificial intelligence/machine learning.
- Experience in leading CPU/ML performance model development, performance analysis, and workload characterization.
- Experience integrating ARM cores into ASICs at architectural and RTL levels.
- Deep knowledge with processor instruction set architecture (e.g., ARM, RISC-V, x86).
- Knowledge of system software components such as Linux, drivers, and runtime.
About the job
As a CPU architecture and performance architect, you'll be the key contributor to improve processor instruction set architecture, develop innovative microarchitecture features, and deliver Google’s advanced SoC products. You’ll have the opportunity to collaborate with talents in system performance and software teams to plan and conduct application and benchmark performance analysis, and project their performance at various design phases. In this role, you’ll be guiding junior CPU architects and working with engineers in power, thermal, security, physical design, and other subsystem teams to determine the CPU subsystem configuration and features, and support the integration of CPU subsystem into the SoCs.
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.
The US base salary range for this full-time position is $172,000-$263,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
- Plan and evaluate ARM’s architecture features from both architecture and performance angles.
- Develop performance model for performance analysis and micro-architecture study.
- Project, analyze, and debug pre-silicon and post-silicon application performance.
- Define and write CPU subsystem architecture specifications.
- Collaborate with other teams, such as RTL design, design verification, and physical design to develop a high performance and efficient CPU implementation.
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We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.
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