Senior Server Qualification Engineer, Google Cloud

2 Days ago • 4 Years + • Quality Assurance

Job Summary

Job Description

This role involves driving the development and testing of new and derivative server/storage products for Google’s Data Centers. Responsibilities include creating test plans, coordinating resources across test environments, performing electrical, functional, reliability, and performance tests, reporting bugs and driving corrective action with suppliers/internal teams, maintaining and improving the qualification process, working with ODMs/JDMs to ensure testing meets Google standards, and focusing on Gen-to-Gen Optimization and process improvement. The ideal candidate will have a strong background in hardware testing and qualification, excellent communication skills, and experience with statistical analysis for failure analysis. This position contributes to the innovation behind Google's direct-to-consumer products, shaping the next generation of hardware experiences.
Must have:
  • Bachelor's degree in related field or equivalent experience
  • 4+ years experience in hardware testing/qualification
  • Signal integrity, power, and timing expertise
  • Test plan creation and resource coordination
  • Bug reporting and corrective action
  • Collaboration with ODMs/JDMs
Good to have:
  • Master's degree in Electrical or Computer Engineering
  • Root cause analysis and solution explanation
  • Statistical analysis of CPU, Memory, and peripherals
  • Knowledge of computer systems (physical, functional, etc.)
  • Excellent communication skills

Job Details


Minimum qualifications:

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • 4 years of experience in hardware testing or qualification with signal integrity, power, and timing.

Preferred qualifications:

  • Master's degree in Electrical or Computer Engineering.
  • Experience collecting and organizing details to reproduce the failure and explain the root cause and solutions.
  • Knowledge of characterizing CPU, Memory and peripheral devices quality using statistical analysi with excellent data collection skills to facilitate quick, accurate failure analysis from the vendor.
  • Knowledge of computer systems with physical, functional, logical, mechanical, electrical, software, and thermal.
  • Excellent communication skills.

About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

In this role, you will drive the development and testing of new and derivative server/storage products for Google’s Data Centers.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

  • Create test plans and coordinate resources across many test environments.
  • Perform electrical, functional, reliability, and performance tests to ensure hardware solutions meet Google's requirements. Report bugs and drive corrective action where needed with external suppliers or internal development teams.
  • Maintain and improve the qualification process.
  • Work with Original Design Manufacturers/Joint Design Manufacturers (ODMs)/(JDMs) to ensure testing to meet Google standards.
  • Drive the test efficiency and test quality. Focus on Gen-to-Gen Optimization and process improvement.

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