Data Center Manufacturing Test Engineer

Google•Atlanta, GA

4h•$120,000 - $172,000

About The Position

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. Google's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this physical infrastructure. As a Manufacturing Test Engineer, you will develop, enhance and sustain manufacturing L11/L12 test processes, tools and procedures for manufacturing operation of products to be deployed at Google Data Center. When vendors build parts for our infrastructure, you will be right there alongside ensuring manufacturing test processes are repeatable and controlled. You will collaborate with the New Product Introduction (NPI) engineers, Hardware/Software (HW/SW) Design Engineers and Quality Engineers to drive continuous improvements to products and manufacturing processes. Your work will ensure the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $120000 - $172000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

Requirements

Bachelor's degree in Electrical Engineering, Computer Science, a related technical field, or equivalent engineering experience.
5 years of experience with test engineering.

Nice To Haves

Experience developing and integrating manufacturing test hardware using custom electronics, fixturing, and instrumentation.
Experience of coding in Python, Bash, and Shell scripting to generate product-specific test plans and executing test processes accordingly.
Experience working with L11 and L12 integration and testing of server, storage, and networking products. Preferably experience working with Liquid Cool system at the rack level for configuration and functional testing.
Experience with design for test (DFT) and System level Functional Test.
Experience with test stations bringing-up, calibration and setup for production test purposes. Working with CM partner or contract manufacturing on ODM, OEM, JDM projects.

Responsibilities

Design, build, optimize and deploy L12 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.
Collaborate with internal engineers and partner engineers to drive test improvement for efficiency and effectiveness.