G

Google

Runs Search and YouTube and builds Gemini AI

Senior Hardware Qualification Engineer - Platforms

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience is required.
  • At least 4 years of experience working in a Hardware Qualification technical environment, or 3 years of experience with an advanced degree, is required.
  • Experience with testing requirements and algorithms for data center hardware or systems, and using scripting and automation to execute test algorithms and analyze results, is required.
  • Experience with lab equipment, such as scopes and analyzers, to collect traces, is required.

Responsibilities

  • Create test plans and coordinate resources across test environments.
  • Perform electrical, functional, performance, and reliability testing for machine learning trays and solutions, and analyze results to ensure they meet requirements.
  • Report bugs and drive corrective action with external suppliers and internal Supplier Quality Engineers, commodity teams, and developers.
  • Use scopes, protocol analyzers, Bit Error Rate Testers, and other lab equipment to collect high-precision data.
  • Organize results, communicate findings, and incorporate learnings to maintain and improve the qualification process.

Desired Qualifications

  • A master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field is preferred.
  • One year of experience in technical leadership is preferred.
  • Experience with scripting and automation to execute test algorithms and analyze results, and familiarity with lab equipment such as scopes, Bit Error Rate Testers, and analyzers, is preferred.
  • Experience determining the appropriate data to collect to facilitate quick, accurate failure analysis from vendors is preferred.
  • Experience with machine learning hardware components, memory systems, and interconnect technologies, and understanding of machine learning systems and how to test the interfaces, is preferred.
  • Understanding of signal integrity, high-speed interfaces, and best practices for collecting accurate signal integrity data is preferred.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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