Automation Engineer, Google Cloud

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.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

• 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.