Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.
With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.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 Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Requirements: Minimum qualifications:
Bachelor's degree or equivalent practical experience.
5 years of industry experience with systems and debugging.
5 years of experience in ATE tools, flows, and methodologies.
Experience in ATE test development, from DFT/Design Verification (DV) to ATE (e.g., Reset, Automatic Test Pattern Generation (ATPG), Memory Built-In Self Test (MBIST), or functional content development to ATE patterns).
Experience in ATE test method library development - taking ATE low level drivers and developing automated solutions.
Preferred qualifications:
Proficiency in code and system health, diagnosis and resolution, and software test engineering.
Understanding of object oriented programming and functional programming.
Excellent software skills and design practices
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