Senior Hardware Validation Engineer, Servers, Compute, Google Cloud

GoogleApplyPublished 8 hours agoFirst seen 8 hours ago
Apply

As a Hardware Validation Engineer, you will qualify new servers and specialized hardware for Google's data centers.

Google's custom-designed machines make up one of the hyperscale computing infrastructures in the world. The Hardware Qualification team ensures that this cutting-edge equipment operates electrically, functions as intended, meets quality requirements, and exhibits the level of reliability expected by customers. You will work within our lab environments, planning for and executing the required testing at scale and in an effective way. Working closely with design engineers, you will give inputs on designs to improve our hardware until you are sure it meets Google's standards of quality, reliability, and security.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

Responsibilities

  • Create test plans, coordinate resources, and communicate status updates to cross-functional teams and leadership.
  • Perform electrical, functional, performance, and reliability testing for server products. Analyze results and incorporate learnings to maintain and improve the qualification process.
  • Use scopes, protocol analyzers, bit error rate tests (BERTs), and other lab equipment to collect high precision data and validate high speed interfaces like PCIe Gen 5/6 and DDR5.
  • Collaborate with ODMs/JDMs to ensure that the validation is up to Google standards.
  • Report bugs and drive corrective action where needed with external suppliers and internal development teams.

Minimum qualifications:

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • 4 years of experience working in board level design and testing, or 3 years of experience with an advanced degree.
  • Experience with lab equipment like scopes, BERTs and analyzers.
  • Experience with servers and compute platform architecture.

Preferred qualifications:

  • Master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
  • Experience managing teams and providing technical leadership for complex programs.
  • Experience in collecting and organizing data to reproduce results and explain what happened.
  • System-level understanding of server products including physical, functional, logical, mechanical, electrical, software, thermal and cooling.
  • Understanding of high speed transceiver interfaces like PCIe (physical, DLL and transaction layer), and memory interfaces like DDR4/DDR5 as well as the requirements to test them.
  • Ability to use scripting and automation to execute test algorithms and analyze results.