Nvidia Senior Product Manager DGX Management 

United States, California 

267133408

chieving what has never been done before, and thatIn this role, you will own the full product lifecyclefor Enterprise AI factory—defining requirements, driving

What You'll be doing:

• Own the complete product lifecycle—from NPI through development and go-to-market to obsolescence for NVIDIA’s latest DGX SuperPOD leveraging industry-leading NVIDIA GPUs, purpose-designed NVIDIA CPUs to drive adoption of the NVIDIA technologies in Enterprise market.

• Leverage strong technical background to define product requirements and user stories by channeling customer needs,solution-architecturefeedback, and cross-team input within NVIDIA; and develop comprehensive product roadmaps that prioritize ecosystem growth.

• Proactively identify, document, and track critical bugs and feature requests, monitoring resolution to maintain product velocity and reliability, Handle customer happiness issues and improve customer experience by managing any deployment challenges.

• Develop effective marketing and sales collateral—including whitepapers, reference architectures, ISV joint-solution briefs, and tools—to accelerate customer adoption and scale the impact of DGX products.

What we need to see:

• Demonstrated ability to fully contribute in one or more of the areas above within 3 months.

• Deep understanding of cloud technologies, containerization with Docker and Kubernetes, and familiarity with accelerated compute, network technologies, especially InfiniBand and Ethernet, and storage.

• Proven experience with the complete software stack for AI/ML/HPC data centers to build products that encompass complex AI factory blueprint consisting of large-scale GPUs, CPUs, storage, networking, and infrastructure software.

• Experience with specific NVIDIA tools and ecosystems like CUDA, DCGM, UFM, etc. is highly valued

• Ability to lead discussions, coordinate among diverse collaborators, and act as a trusted advisor.

• A strong desire to learn, problem-solving skills, and a demonstrated ability to make sophisticated trade-offs.

• 12+ years of total experience in technology with product management or engineering experience on high-tech, cloud, AI/ML, technologies.

• BS or MS in engineering, computer science, or another technical field (or equivalent experience). MBA is a plus.

Ways to stand out from the crowd:

• In-depth knowledge of deep learning workflows, experience in Gen AI, LLMs.

• Experience in building 0-1 products.

• Recent experience in key data center technologies such as, server architectures, software containers, job schedulers and parallel computing. Deployment and operation of systems at large scale; resilient system design; and clustering compute resources.