Machine Learning SoC Architect, Google Cloud Silicon
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Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent practical experience.
- 15 years of experience in SoC engineering and architecture.
- Experience with performance modeling, workload analysis, and hardware-software co-design.
Preferred qualifications:
- Master’s degree or PhD in Electrical Engineering or Computer Engineering.
- 5 years of experience leading the architectural definition of AI accelerator architecture from concept through production.
- Experience in system-level integration and deploying complex AI models on sophisticated hardware platforms.
- Experience leading the architecture and technical direction for complex hardware or system-level projects.
About the job
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.In this role, you willl work to shape the future of an Edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive the distributed inference technology that powers real-time systems where latency and reliability are mission-critical.
You will be part of a team that pushes boundaries, developing autonomous solutions that define the next generation of intelligent infrastructure and hardware for the edge. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy complex AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities
- Develop architectural specifications for next-generation, high-performance ML IP.
- Own the IP architecture specification and lead it throughout the entire product lifecycle: concept, modeling, implementation, and silicon bring-up.
- Collaborate with the industry-leading algorithm team to explore architectural options and define hardware requirements.
- Perform architecture studies and drive performance, scalability, and power efficiency projections.
- Own one or more architectural blocks from initial product definition through to production.
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