About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
- 15 years of experience in computer architecture
- Experience with high-performance computing (HPC), server processors, GPUs, or machine learning (ML) accelerators
More about this role
- Drive the end-to-end silicon product architecture and roadmap for next-generation accelerators in collaboration with internal AI/ML research teams, software/systems teams, and customers, maintaining a rigorous hardware-software co-design process.
- Define and own product-level chip architectures and top-level specifications, ensuring products achieve goals across functionality, performance, power efficiency, die area/cost, reliability, usability, and fleet deployability.
- Lead architectural pathfinding, trade-off studies, and engaging assessments of emerging AI workloads and semiconductor technologies.
- Set technical direction across key product subsystems to enable rapid and predictable execution of complex server-class ASICs.
- Partner across all phases of silicon development and with compiler/runtime teams to resolve cross-domain bottlenecks and deliver production-ready hardware/software stacks.
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 15 years of experience in computer architecture.
- Experience with high-performance computing (HPC), server processors, GPUs, or machine...
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