Hardware Qualification Engineer, Machine Learning, University Graduate

Company: Google
Location: Sunnyvale
Posted on: April 1, 2025

Job Description:

Hardware Qualification Engineer, Machine Learning, University Graduatecorporate_fare Google place Sunnyvale, CA, USAEarlyExperience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.Minimum Qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, a related field, or equivalent practical experience.
• Experience with testing requirements, best practices, and algorithms for hyperscale hardware or systems, and using scripting and automation to execute test algorithms and analyze results.
• Experience with the use of lab equipment (e.g., scopes, analyzers, oscilloscopes, etc).Preferred Qualifications:
  • Master's or PhD degree in Electrical Engineering, Computer Engineering, or a related field.
  • Experience working with signal integrity in a data center or hyperscale technical environment, particularly focused on power electronics and power delivery.
  • 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.About the JobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.Googlers grow in focused teams and high-energy environments, believe in the ability of technology to change the world, and are as passionate about their lives as they are about their work. 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 $105,000-$151,000 + 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, plan, 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.Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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Keywords: Google, Sunnyvale , Hardware Qualification Engineer, Machine Learning, University Graduate, Engineering , Sunnyvale, California