TPU Architect, Silicon
Job Summary
Job Description
- Bachelor's degree in relevant field
- 3+ years experience in computer architecture
- Experience with microarchitecture, cache hierarchy, pipelining
- Analyze ML workloads, propose architecture/compiler improvements
- Master's/PhD in EE, CE, or CS
- Experience with Machine Learning Accelerators
- Experience in Machine Learning algorithms
- Experience in architecting and optimizing compilers
- Knowledge of compiler flows (e.g., TensorFlow)
6 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 3 years of experience with computer architecture concepts, with microarchitecture, cache hierarchy, pipelining, and memory subsystems.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with computer architecture.
- Experience with Machine Learning Accelerators (e.g., Machine Learning Software models or accelerator architectures).
- Experience in Machine Learning algorithms (e.g., recommendation systems, Natural Language Processing (NLP), image).
- Experience in architecting and optimizing compilers.
- Knowledge of compiler flows (e.g., TensorFlow).
About the job
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
- Build up tools, flows, and dashboards for Tensor Processing Unit (TPU) power/performance analysis.
- Analyze important Machine Learning workloads, evaluate power and performance and propose architecture or compiler improvements.
- Analyze micro-architecture of the TPU, engage with the implementation team and propose power or performance optimization opportunities.
- Collaborate with cross-functional teams to improve the end to end workload analysis flows, including debugging and tracing.
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About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
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