Automation Engineer, Google Cloud
Job Description
- Master's degree in EE or CS
- Linux/Unix experience
- Hardware test & qualification experience
- Signal integrity, power circuit, optical & network testing
- Excellent communication skills
- Bachelor's degree in EE or CS
- 1+ year JDM/ODM experience
- Python automation scripting
- Technical drawing experience
- Server system architecture understanding
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.
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 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.
Responsibilities
- 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.
