NVIDIA is the defining technology company of the Artificial Intelligence era. We are building a legacy of innovation that is powered by outstanding technology—and extraordinary people. We are achieving what has never been done before, and that demands vision, innovation, and the world’s best talent! In this role, you will own the full product lifecycle for Enterprise AI factory—defining requirements, driving compute, networking, and storage architecture, and guiding designs from concept through engineering, validation, and deployment in customer environments.
At NVIDIA, be a part of a diverse, collaborative environment that motivates all team members to excel in their work. Be a part of our team and discover ways of making a lasting impact on the world. NVIDIA’s Enterprise Product Group is a small, dynamic, and highly motivated team behind DGX systems and DGX SuperPOD—the platforms that established NVIDIA as the gold standard in AI development and deployment. By delivering turnkey, coordinated solutions, the team helped transform NVIDIA from a GPU hardware vendor into a full-stack AI and data-center company.
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-architecture feedback, 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.
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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD.You will also be eligible for equity and benefits.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
