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 Liquid Cooling solutions for our next-generation datacenter server, rack-scale system, and cluster products for AI Applications. We are expecting you to bring deep knowledge and experience in liquid cooling testing, characterization, analysis, benchmarking, and risk assessment of Server, Rackscale and Cluster systems.What you’ll be doing:The focal point SME for manufacturing test requirements, test methodology, test equipment assessment, thermal characterization, test plan and test flow of chassis and Rackscale systems’ liquid cooling solutions to ensure good test coverage and successful production ramp-ups.Owner of the liquid cooling RAS/Resilience models, Benchmarking and Risk assessment.Lead the troubleshooting and root-causing of liquid cooling related failures at factory and in the field.Drive the data analysis of liquid cooling thermal test 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 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, Mechanics, or equivalent experience.12+ years proven hands-on experiences in design, testing, characterization, benchmarking, and risk assessment of liquid cooling solutions for datacenter compute systems.Proficient in ASHRAE Datacenter liquid cooling system guidelines, architecture, design, or implementation.Proficient in liquid cooling coolant characteristics and applications.Proficient in using test equipment to test cooling solution performance and characterization.Must have solid knowledge or experience of Immersion cooling for datacenter.Strong problem-solving and troubleshooting expertise; and institutionalizing root-cause analysis.Self-initiative, strong interpersonal skills, and flexibility to adapt to new technologies.NVIDIA is widely considered to be one of the technology world’s 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 180,000 USD - 339,250 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.
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