Silicon Hardware Architecture Modeling Engineer, TPU, Google Cloud
Description For Silicon Hardware Architecture Modeling Engineer, TPU, Google Cloud
Google is seeking a Silicon Hardware Architecture Modeling Engineer for their TPU (Tensor Processing Unit) team within Google Cloud. This role is crucial in shaping the future of AI/ML hardware acceleration. The position offers an opportunity to drive cutting-edge TPU technology that powers Google's most demanding AI/ML applications. As part of a diverse team, you'll be developing custom silicon solutions that power Google's TPU future. The role involves working with hardware and software architects to model, analyze, and define next-generation Tensor Processing Units.
The Technical Infrastructure team at Google is responsible for building and maintaining the architecture that keeps everything running smoothly. This includes developing and maintaining data centers and building next-generation Google platforms. The team takes pride in being the engineers' engineers and focuses on ensuring networks remain operational to provide users with the best and fastest experience possible.
The ideal candidate will have strong experience in computer architecture performance analysis, software development in C++, and a deep understanding of ML workload characterization. They will work on developing architectural models, conducting performance analysis, and collaborating across teams for effective hardware/software codesign. This role offers the opportunity to contribute to innovation behind products used by millions worldwide and to be part of Google's commitment to advancing AI/ML technology through custom silicon solutions.
Google offers an inclusive work environment and is committed to equal opportunity employment, regardless of background. The company provides a culture of belonging and supports diversity in all forms. This role requires English proficiency to facilitate efficient global collaboration and communication.
Responsibilities For Silicon Hardware Architecture Modeling Engineer, TPU, Google Cloud
- Work on Machine Learning (ML) workload characterization and benchmarking
- Conduct performance and power analysis and quantitatively evaluate proposals
- Develop architectural and microarchitectural models to enable quantitative analysis
- Collaborate with partners in hardware design, software, compiler, ML model and research teams for effective hardware/software codesign
- Propose capabilities and optimizations for next-generation Tensor Processing Units (TPU) and chip roadmap
Requirements For Silicon Hardware Architecture Modeling Engineer, TPU, Google Cloud
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
- 3 years of experience in computer architecture performance analysis and optimization, or a PhD degree in lieu of industry experience
- Experience in developing software systems in C++
- Experience in applying computer architecture principles to solve open-ended problems
- Experience in analyzing workload performance and creating benchmarks
- Experience in hardware and software co-design
- Experience developing in Python
- Knowledge of processor design or accelerator designs and mapping Machine Learning (ML) models to hardware architectures
- Knowledge of design of digital logic at the Register Transfer Level (RTL) using Verilog
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