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Google Machine Learning Hardware Architect Accelerator United States, California, Mountain View 209829159
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Minimum qualifications:
Preferred qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience of silicon core architectural domains, including computer architecture, TPU or parallel processor architecture (VPU/DSP), micro-architecture and silicon design.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience in architecting and designing machine learning hardware IP in SoCs for machine learning networks.
- Experience collaborating cross-functionally with product management, SoC architecture, IP design and verification, ML algorithm and software development teams.
- Experience in algorithms for machine learning accelerators and compute cores.
- Experience in micro architecture, power and performance optimization.
- Experience in interconnect/fabric, caching and security architectures.
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