Manufacturing Test Development Engineer, AI and Infrastructure
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Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience.
- 8 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 executing 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
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. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $144,000-$209,000 + 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
- Design, build, optimize and deploy Rack and L11 test platforms for Google compute/storage/ML server at the global manufacturing partner factory.
- Partner 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, improve test coverage, and reduce cost.
- Analyze, troubleshoot and root cause manufacturing yield issues and data center field escapes. Drive sustaining test issues to closure with corrective and preventive measures.
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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.
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