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Senior Production Engineer - DGX Cloud

NVIDIA Β· United States

Information Technology Infrastructure & Support Full-time Posted 4 days ago

About this role

NVIDIA is hiring experienced Senior Production Engineers to help scale up its AI Infrastructure. We expect you to have significant experience with site reliability principles and techniques including reliability assessments, incident management processes, production system observability, monitoring and alerting, automated deployments and toil elimination. We view Production Engineering as a software engineering discipline and expect significant contributions to our codebase

We welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications

If you're creative, passionate about Production Engineering, and love having fun, please apply today! For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning

What you will be doing: You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. This includes working on custom software related to GPU asset provisioning, configuration, and lifecycle management across cloud providers. Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets

You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry. Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum per

Apply for this role on NVIDIA’s official careers site.

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