Hardware Validation Engineer

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  
• 2 years of experience working in a board level design and testing technical environment, or 1 year of experience with an advanced degree.

Preferred qualifications:

• Master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
  
• Experience collecting and organizing data to reproduce results and explain what happened, enabling quick, accurate failure analysis from suppliers where needed.
  
• Understanding compute, storage or networking hardware including physical, functional, logical, mechanical, electrical, software, thermal etc. as well as how to test the interfaces.
• Ability to use scripting and automation to execute test algorithms, and then analyze results.
  
• Excellent communication skills, both verbal and written.
  

About the job

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 services possible. Platforms Infrastructure Engineering designs, builds and collaborates on the hardware, software and networking technologies that power all of Google's services.

As a Hardware Qualification Engineer in Google's design and validation team, you will qualify new components, servers, storage devices and specialized machine learning hardware for Google's data centers, ensuring they meet Google's stringent requirements for performance, security, reliability, and features.

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 $126,000-$181,000 + 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.

As a Hardware Qualification Engineer in Google's design and validation team, you will qualify new components, servers, storage devices and specialized machine learning hardware for Google's data centers, ensuring they meet Google's stringent requirements for performance, security, reliability, and features.

Responsibilities

• Create test plans and coordinate resources across various test environments.
• Perform electrical, functional, and performance testing for server, storage, and networking platforms or components.
• Validate high-speed interfaces (PCIe Gen 5/6, Ethernet, DDR5) through electrical/protocol compliance and interoperability testing.
• Collaborate with Original Design Manufacturer/Joint Design Manufacturer (ODMs/JDMs) to ensure validation meets standards while communicating status updates to cross-functional leadership.
• Utilize lab equipment (oscilloscopes, BERTs, protocol analyzers) and organize data to improve the qualification process.