Architect, CPU-AI Workloads and Performance
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Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 4 years of experience in system software, kernels, compiler, high-performance microprocessor architecture or microarchitecture exploration.
- Experience with C/C++ and scripting languages, e.g. Python.
Preferred qualifications:
- Master or Ph.D degree in Electrical Engineering, Computer Engineering, or Computer Science, emphasizing computer architecture or machine learning.
- Experience with characterizing AI/ML or DSP workloads and Android/Linux software performance tuning tools.
- Knowledge of system software components, such as Linux, drivers, and runtime.
- Ability to communicate in English fluently to support client relationship management in this region.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a CPU-AI workloads and performance architect, you will have the opportunity to collaborate with talents in Google’s Android applications and Google’s world-renowned AI teams to plan and conduct application and benchmark performance analysis. Based on the infrastructures and methodologies you build, you will explore workloads and CPU design together to provide unique, engaged insights for hardware and software codesign. You will build traces and benchmarks to provide a consistent view of the workload for all stakeholders to do performance evaluation. Your work would contribute to enhancing many Google’s products and to the success of Google’s CPU project.
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
- Characterize AI/ML workloads and identify performance bottlenecks or patterns.
- Propose CPU-focused AI/ML workload optimization solutions.
- Create representative instruction traces and benchmarks for performance and microarchitecture explorations.
- Develop methodologies, tools, infrastructures to enable effective hardware-software co-design.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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