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Hardware Engineer, Servers and Compute
Hardware Engineer, Servers and Compute-June 2024
Sunnyvale
Jun 21, 2025
ABOUT GOOGLE
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Technology
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About Hardware Engineer, Servers and Compute

  Minimum qualifications:

  Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.

  3 years of experience working on board-level design and testing, schematic capture and layout.

  Experience with protocols and interfaces (e.g., I2C, SPI, PCIe), and testing requirements and algorithms.

  Experience collecting and organizing data to reproduce and explain results.

  Preferred qualifications:

  Master's degree in Computer Science, Electrical Engineering, or a related field.

  Knowledge of running and debugging the PCI Express protocol for root complexes and endpoints.

  Understanding of lab equipment such as scopes, BERTs, and analyzers.

  Understanding of signal integrity, including for high-speed interfaces, and best practices to collect accurate SI data.

  Ability to use scripting and automation to execute test algorithms, and analyze results.

  Excellent verbal and written communication skills.

  Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

  With your technical expertise, you lead projects in multiple areas of expertise (i.e., engineering domains or systems) within a data center facility, including construction and equipment installation/troubleshooting/debugging with vendors.

  As a Hardware Engineer, you will lead initiatives to do testing for machine learning hardware deployed in Google data centers. You will give input on designs to improve our hardware until it meets Google standards of quality, reliability, and security.

  Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

  The US base salary range for this full-time position is $141,000-$212,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

  Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) .

  Create test plans and coordinate resources across test environments.

  Perform electrical, functional, performance and reliability testing for server products. Analyze results to ensure that they meet Google's requirements.

  Use scopes, protocol analyzers, BERTs and other lab equipment to collect high precision data.

  Report bugs and drive corrective action where needed with external suppliers and internal development teams.

  Organize data and incorporate learnings to maintain and improve the qualification process.

  Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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