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Google Hardware Qualification Engineer Machine Learning University Graduate 
United States, California, Sunnyvale 
871846935

10.04.2025
Minimum qualifications:
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, a related field, or equivalent practical experience.
  • Experience with testing requirements, best practices, and algorithms for hyperscale hardware or systems, and using scripting and automation to execute test algorithms and analyze results.
  • Experience with the use of lab equipment (e.g., scopes, analyzers, oscilloscopes, etc).

Preferred qualifications:
  • Master's or PhD degree in Electrical Engineering, Computer Engineering, or a related field.
  • Experience working with signal integrity in a data center or hyperscale technical environment, particularly focused on power electronics and power delivery.
  • Experience with scripting and automation to execute test algorithms, and then analyze results with knowledge of lab equipment like scopes, Bidirectional Encoder Representations from Transformers (BERTs) and analyzers.
  • Experience running and debugging the PCI Express protocol for root complexes and endpoints.
  • Understanding of signal integrity, especially for high speed interfaces, and best practices to collect accurate SI data.