Distinguished Engineer, Storage – AI Cloud

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. AI Cloud Data Storage NVIDIA DGXC Storage org handles some of the fastest training and inference tasks. Every GPU cycle depends on a storage platform built to keep tens of thousands of accelerators continuously busy. It maintains exabytes of data securely and powers the largest AI workloads worldwide across cloud, neocloud, and on-prem setups. With the growth of accelerated computing, storage is essential. It can make the difference between effective GPU use and wasted potential and between launching a frontier model on time or missing the deadline by months. We seek a Distinguished Engineer to lead NVIDIA's storage strategy for AI Cloud across the Neocloud Provider (NCP) and Cloud Service Pro [... source excerpt omitted ...] gh-performance parallel file systems, object stores, and block storage at exabyte scale. You will stay hands-on, collaborating with engineers, SREs, partners, and storage vendors. You will apply NVIDIA's AI tools to increase your productivity and that of those you impact. This is a distinctive prospect to establish the storage framework of the AI era at the company that introduced accelerated computing. What you'll be doing: Lead the multi-year technical plan for AI Cloud Storage expansion across NCPs — determine the reference architecture, capabilities, performance and durability SLOs, qualification methodology, and roadmap for the high-performance file, object, and block stor [... source excerpt omitted ...] qualify for NVIDIA GPU allocation. Serve as the chief storage architect with deep hands-on involvement. Lead key reviews of storage builds and investigate root causes of complex production problems. Develop prototype reference implementations to minimize risks in new initiatives. Make final technical decisions on NCP storage deliveries using measurable SLOs. Apply AI tools heavily to amplify your technical influence throughout the program. Define the standard for "production-ready" in NCP storage, including durability and availability SLOs measured in 9s. Ensure sustained efficiency per TiB, observability, blast-radius containment, and reduced operational toil. Influence GPU del