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Reliability, Availability and Serviceability Expert, Datacenter AI Products Development

Company: Nvidia
Location: Santa Clara
Posted on: May 13, 2024

Job Description:

For two decades, we have pioneered visual computing, the art and science of computer graphics - with our invention of the GPUs, the engine of modern AI technologies, the field has expanded to encompass AI-powered video games, social networking and web search, IC & other product design, medical diagnosis, and scientific research. Today, visual computing is the critical computing engine for deep learning-based AI including ChatGPT, becoming increasingly central to how people entertain and interact, and there has never been a more exciting time to join us to enable visual computing and AI to the next chapter. We are looking for one product development engineer as a SME to drive key aspects of RAS/Resilience features from Chip to module to server for our next-generation products for AI Applications. We are expecting you to bring deep knowledge and experience in RAS/Resilience testing, characterization, analysis, benchmarking, and risk assessment of large AI training or HPC cluster systems with InfiniBand or enhanced Ethernet.What youll be doing:The focal point SME for manufacturing test requirements, test methodology, test plan and test flow for AI system RAS/Resilience features to ensure good test coverage and successful production ramp-ups.Own the AI system RAS/Resilience models, Benchmarking and Risk assessment.Own the troubleshooting and root-causing of AI system RAS/Resilience related failures at factory and in the field.Drive the end-to-end RAS efforts of chip-board-system to reduce FIT rates.Lead the data analysis of RAS/Resilience logs to refine, revise and overhaul test methodology and manufacturing flows; influence and drive software tools/infrastructure required for new product development, validation, and productization.Opportunity to work closely and partner with architecture, hardware, software, and product engineering teams through the product development lifecycle.Be ready to be challenged to assess new hardware features and architect manufacturing RAS tests, flows, methodologies.You'll nurture a deep understanding of NVIDIA's AI hardware and software architecture.What we need to see:BS or higher in EE, CE, CS, Mathematics, or equivalent experience.12+ years proven hands-on experiences in design, testing, benchmarking, and risk assessment of system RAS / Resiliency features of large Compute or AI or HPC systems.Proficient in Compute System RAS/Resilience model theory and methodology.Proficient in HPC or AI system architecture and Cluster Interconnect technologies.Proficient in using test equipment, Linux commands and benchmark utilities to test and trouble-shoot compute system RAS & Resiliency features.Strong problem-solving and trouble-shooting expertise; and institutionalizing root-cause analysis.Self-initiative, strong interpersonal skills, and flexibility to adapt to new technologies.Solid Knowledge and/or Experience in HPC or MLPerf benchmarking is a plus.NVIDIA is widely considered to be one of the technology worlds most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!The base salary range is 188,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.by Jobble

Keywords: Nvidia, Santa Clara , Reliability, Availability and Serviceability Expert, Datacenter AI Products Development, Other , Santa Clara, California

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