Senior Staff GPU System Architecture Lead, Silicon
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Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 10 years of experience with computer architecture concepts, including microarchitecture, cache hierarchy, pipelining, and memory subsystems.
- 7 years of GPU or System architecture experience.
- Experience with graphics pipeline, APIs, and state-of-the-art rendering technologies.
- Experience with GPGPU workloads, programming models, and architectures.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- 10 years of GPU or System architecture experience.
- Experience with GPU workload analysis.
- Experience with ML accelerator architectures.
- Understanding of machine learning APIs.
- Understanding of the landscape of machine learning workloads and third-party ecosystem on GPU.
About the job
Be part of a diverse 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 the GPU System Architecture Lead, you will manage a team and be at the forefront of innovation in GPU technology. You will deliver GPU system architecture and shape the GPU strategy of future Google Tensor SoCs by identifying emerging industry trends, defining technical requirements, analyzing key workloads, and proposing architecture features of next-generation GPUs. You will work closely with product management, various software and hardware engineering teams, and key developers within and outside of Google. By partnering with diverse teams, you will drive the GPU program from concept to product and leverage Google’s vertical integration advantage to deliver a unique user’s experience.
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 $221,000-$314,000 + 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 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.
Responsibilities
- Identify industrial trends relevant to GPU technology and propose new GPU features and architecture optimizations.
- Partner with Product Managers to crystallize GPU technical requirements.
- Analyze key workloads for future GPU designs.
- Partner with various engineering teams to project PPA and recommend sizing of the next gen GPU.
- Manage the GPU program from conceptualization to productization.
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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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