Manufacturing Test Development Engineer, AI Infrastructure
$120k - $172kGoogle Inc.
Manufacturing Test Development Engineer, AI Infrastructure corporate_fare Google place Atlanta, GA, USA Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience. 5 years of experience in test engineering or equivalent. Experience developing and integrating manufacturing Rack/L11 test hardware using custom electronics, fixturing, and instrumentation. Experience coding in Python, Bash, and Shell scripting to generate product‑specific test plans and execute test processes. Preferred qualifications Experience working with Rack and L11 testing of server, storage, and networking products and with liquid cool system at the rack level for configuration and functional testing. Experience in establishing system calibration, gauge Repeatability and Reproducibility (R&R), and correlation study for each change management. Experience with test stations bring‑up, calibration and setup for production test purposes. Experience with DFT and system level functional test (L10/L11/L12). Knowledge with the Linux and other operating systems and common command line tools. Ability to drive continuous improvement of test systems and processes for increased manufacturability. About the job 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 AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Individual pay is determined by factors including job‑related skills, experience, and relevant education or training. US: $120,000 - $172,000 (USD) + 15% bonus target + equity + benefits Design, build, optimize and deploy Rack and L11 test platforms for Google compute/storage/ML server at the global manufacturing partner factory. Collaborate with the NPI team to define Design for Test (DFT) requirements and provide input to manufacturing test strategy. Provide caliber manufacturing test engineering support for new and existing products. Drive initiatives to improve test process efficiencies, test coverage, and reduce cost. Analyze, troubleshoot and root cause manufacturing yield issues and data center field escapes, while driving sustaining test issues to closure with corrective and preventive measures. 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. 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. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. #J-18808-Ljbffr Google Inc.
$120k - $172k
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$120k - $172k
...Bachelor's degree in Electrical Engineering, Computer Science, or... ...5 years of experience in test engineering or equivalent.... ...developing and integrating manufacturing test hardware using custom... ...and most powerful computing infrastructures in the world. The Hardware...Full time- Cognizant is looking for an AI Engineer to join their Automotive Consulting group. This remote-based position requires expertise in AI deployment, project management, and collaboration with various departments. Key responsibilities include building CI/CD pipelines and ensuring...Remote job
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