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 data center technical environment, or 1 year of experience with an advanced degree.
- Experience with testing requirements, best practices, and algorithms for data center hardware or systems, and using scripting and automation to execute test algorithms and analyze results.
- Experience with lab equipment (e.g., scopes, analyzers) to collect traces.
- Master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
- Experience with scripting and automation to execute test algorithms, and then analyze results with knowledge of lab equipment like scopes, Bidirectional Encoder Representations from Transformers (BERTs) and analyzers.
- Experience running and debugging the PCI Express protocol for root complexes and endpoints.
- Understanding of signal integrity, especially for high speed interfaces, and best practices to collect accurate SI data.
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About the job
Google's custom-designed machines make up one of the largest computing infrastructures in the world. The Hardware Qualification team ensures that this equipment is reliable. In the Research and Development lab, you will plan for and execute the most effective way to test at scale.
In this role, you will lead initiatives to do end-to-end testing for machine learning hardware deployed in Google's data centers. You will give input on designs to improve our hardware until you're sure it meets Google's 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 $122,000-$178,000 + 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 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 .
Responsibilities
- Create, test, plans and coordinate resources across test environments.
- Perform electrical, functional, performance and reliability testing for Google's machine learning trays and solutions. Analyze results to ensure that they meet Google's requirements.
- Report bugs and motivate corrective action where needed with external suppliers and internal Supply Quality Engineer (SQEs), commodity teams and developers.
- Use scopes, protocol analyzers, Bidirectional Encoder Representations from Transformers (BERTs) and other lab equipment to collect precision data.
- Organize results, communicate findings and incorporate learnings to maintain and improve the qualification process.