Data Center Quality Engineer, Ml Gpu Platforms
hace 3 semanas
Note: Google’s hybrid workplace includes remote roles.**Remote location: Mexico.****Minimum qualifications**:- Bachelor's degree in Electrical Engineering, Computer Engineering or Computer Science, or equivalent practical experience.- Experience in leading cross-functional engineering teams.- Experience in technical leadership, project management, and executive communication.**Preferred qualifications**:- Master's degree in Engineering or equivalent practical experience.- Certified Reliability Engineer/Certified Quality Engineer (CRE/CQE) certification or equivalent experience.- Experience overseeing yield improvements and cycle time reductions for high volume and high complexity parts.**About the job**:Google has one of the largest and most powerful computing infrastructures in the world. Your 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 Data Centers Quality and Reliability team provides long-term improvement to products and processes that ensure this equipment is reliable and can be deployed and maintained in the data center environment.As a Quality Engineer on this team, you will manage multiple projects, some of which will be complex and large-sized, lead cross-team initiatives, and identify/implement process improvements for the larger organization. You will have the ability to travel up to 20% of the time as needed.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.**Responsibilities**:- Provide technical leadership, set priorities, complete root cause analysis, and drive resolution of complex technical issues for product quality and predictable field deployment.- Initiate, drive, and implement innovative product, process, tools development/improvement projects, independently and in a cross-functional environment.- Monitor, review and present product performance data and metrics to stakeholders in a concise and clear way that enables data-driven decision making.- Review, edit, improve, and create technical documentation (deployment guides, population documents, repairs guides) based on data, investigations, technician feedback, quality fundamentals.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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Data Center Quality Engineer, Machine Learning Gpu Platforms
hace 3 semanas
Desde casa, México Google A tiempo completoNote: Google’s hybrid workplace includes remote roles.**Remote location: Mexico.****Minimum qualifications**:- Bachelor's degree in Electrical, Computer Science, Computer Engineering, Mechanical, Industrial, Materials or equivalent practical experience.- 8 years of experience in quality or manufacturing or product engineering of cloud hardware technology...
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