Google welcomes people with disabilities. Minimum qualifications: + Bachelor's degree in Electrical Engineering or Computer Science. + 1 year of experience working in a JDM/ODM company, experience with technical drawings such as schematics, datasheets, and written work instructions. Preferred qualifications: + Master’s degree in Electrical Engineering, or Computer Science. + Experience with Linux or other Unix operating systems (Ubuntu or RHEL) and shell scripts. + Experience in more than one discipline related to hardware test, hardware qualification, and manufacturing including signal integrity, power circuit testing, optical testing, network testing, scripting, and hardware test execution automation using Python. + Overall understanding of Server System architecture, including physical, functional, logical, mechanical, electrical, software and thermal. + Excellent communication skills, with the ability to coordinate and manage the needs of multiple lab users. Be 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. 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. + Support various hardware prototype bring up and qualification testing activities by developing Python automation test scripts. + Develop software and framework required for managing the test systems at scale to avoid manual configuration and test execution with quality data collection and visualization. + Provide integrated software to synchronize test execution on Device-under-Test (DUT) with external smart measurement instrumentation. + Be responsible for the coding implementation on the test framework for automation testing, which will be widely used in the lab environment and manufacturing line. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.