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Google Machine Learning Hardware Architect Google Cloud 
United States, California, Sunnyvale 
801798214

20.05.2025
Minimum qualifications:
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 5 years of experience in computer architecture, chip architecture, IP architecture, co-design, performance analysis, or hardware design.
  • Experience in developing software systems in C++ or Python.

Preferred qualifications:
  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on Computer Architecture, or a related field.
  • 8 years of experience in computer architecture, chip architecture, IP architecture, co-design, performance analysis, or hardware design.
  • Experience in processor design or accelerator designs and mapping ML models to hardware architectures.
  • Experience with deep learning frameworks including TensorFlow and PyTorch.
  • Knowledge of Machine Learning market, technological and business trends, software ecosystem, and emerging applications.
  • Knowledge of hardware/software stack for deep learning accelerators.