Google

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
• 4 years of experience working in hardware systems 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 degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field.
• 1 year of experience in technical leadership.
• Experience collecting and organizing data to reproduce results and explain what happened, enabling quick, accurate failure analysis from suppliers where needed.
• Experience using scripting and automation to execute test algorithms, and then analyze results.
• 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.
• Understanding of the system-level architecture of server products.

About the Job

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.

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 largest and most powerful computing infrastructures in the world. The Hardware Qualification team ensures that this equipment operates properly 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 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 ML, Systems, and 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.

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 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, Bit Error Rate Tester (BERT) and other lab equipment to collect high precision data. Organize data and incorporate learnings to maintain and improve the qualification process.
• Validate high speed interfaces like PCIe Gen 5/6 and DDR5, running electrical and protocol compliance testing and performing interoperability testing.
• Collaborate with Original Device Manufacturing (ODM)/Joint Development Manufacturing (JDM) to ensure that the validation is up to Google standards.
• Communicate status updates to cross-functional teams and leadership. Report bugs and drive corrective action where needed with external suppliers and internal development teams.