Manufacturing Test Engineer, Global Manufacturing Engineering

Remote Full-time
Google will be prioritizing applicants who have valid working rights in Thailand and do not require Google’s sponsorship of a visa. Note: Google's hybrid workplace includes remote roles. Remote location: Thailand. Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience. 5 years of experience in hardware engineering or test engineering in manufacturing. Experience in developing and integrating manufacturing test hardware using custom electronics, fixturing, and instrumentation. Experience in managing test systems and processes to optimize manufacturability. Preferred qualifications: Experience in design or test of server and networking products, with a focus on board and system-level functional tests in manufacturing. Experience with coding in Python, and Shell scripting, and familiarity with Linux operating systems. Knowledge of test stations bringing-up incorporating validation methodology (i.e., gage repeatability and reproducibility). Ability to generate comprehensive test plans based on product specifications while effectively executes testing procedures. Ability to troubleshoot complex manufacturing issues collaboratively with the engineering team. Ability to explore and apply new technologies like automation or data analytics, to enhance manufacturing tests in efficiency or cost reductions. About the job 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 state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures 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 team behind Google's groundbreaking innovations, empowering the development of our 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. Responsibilities Develop and deploy test solutions for products in collaboration with Google's global manufacturing partners, while partnering with the NPI team to define comprehensive test requirements and provide Design for Test (DFT) expertise to ensure testability and manufacturability. Maintain smooth test operations for sustaining products by leveraging extensive manufacturing test knowledge and ensuring timely and accurate deployment of software and hardware changes to manufacturing test systems. Lead initiatives to optimize test processes, increase test coverage, and reduce costs, while collaborating with cross-functional teams to drive improvement in product quality. Identify, analyze, and resolve manufacturing yield issues and field escapes, implementing preventive measures to ensure closure. Develop and maintain comprehensive documentation for test processes and procedures to ensure standardized practices with internal and external partners. Maintain test scripts to support new test features, software/firmware upgrades. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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