Hardware Signal Integrity Test Engineer, Platforms, University Graduate
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, a similar field, or equivalent practical experience.
- 1 year of experience working in a hardware development lab though internships or academic projects.
- Experience applying hardware evaluation methodologies (e.g., lab measurements, performance monitoring, test automation, and data analysis)
Preferred qualifications:
- Master's degree in Electrical Engineering, a similar field, or equivalent practical experience.
- Experience with hardware lab equipment (e.g. VMM, oscilloscope, function generator)
- Experience with Linux or other Unix operating systems (e.g., Ubuntu or RHEL) and shell scripts.
- Proficiency in one or more disciplines related to signal integrity measurements, hardware test, hardware qualification.
- Understanding of computer systems architecture.
About the job
Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.
As a Hardware Signal Integrity Test Engineer, you will be supporting a team of hardware board and high-speed signal integrity engineers who are responsible for Hardware design, prototype bring-up, validation, qualification, and failure analysis of server-related technologies such as CPU, DDR memory, storages, onboard power and high-speed interconnects. You will also be responsible for liaison between hardware engineering teams and the lab team to ensure lab resources are accounted for and to ensure we are ‘lab-ready’ for new products entering the Research and Development (R&D) labs and/or sustaining efforts.
The ML, Systems, & 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 $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
- Support various hardware prototype bringup, signal integrity measurements, and debug testing activities under minimal supervision.
- Support a team of hardware designers, qualification and test engineers, on project planning within hardware development labs, and ensure adequate resources are available.
- Support lab budget planning for test resources, equipment, and facility related projects.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.