NVIDIA is the defining technology company of the Artificial Intelligence era. Our legacy of innovation is powered by outstanding technology—and extraordinary people. Achieving what has never been done before demands vision, innovation, and the world’s best talent! We are seeking a deeply technical Product Manager to develop the enterprise software stack for next-generation AI factories, built on NVIDIA’s industry-leading GPUs and purpose-designed CPUs. This includes bare-metal orchestration, Kubernetes-native services, and full-stack AI platform capabilities to power the enterprise AI factory.
At NVIDIA, you will be part of a diverse, collaborative environment where everyone is inspired to do their best work. Join us and see how you can make 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. We are looking for a proven product leader with a strong track record of delivering enterprise platforms and the expertise to drive continued adoption of these solutions across global enterprises.
What You'll be doing:
Understand NVIDIA’s strategic position and deliver an enterprise computing platform recognized as the best in the industry.
Own the complete solution lifecycle—from solution definition through development and go-to-market—for NVIDIA Mission Control software stack to drive adoption of the NVIDIA technologies in Enterprise market.
Leverage strong technical background to define product requirements and user stories for solutions by channeling customer needs, solution-architecture feedback, and cross-team input within NVIDIA.
Establish a shared vision across the company by building consensus on connectors and integration points, priorities, and other key initiatives leading to successful execution.
Proactively identify, document, and track critical bugs and feature requests, monitoring resolution through internal tools to maintain product velocity and reliability.
Define success metrics that measure and improve product and solutions adoption, ecosystem growth, and DGX software performance; use these metrics to communicate progress clearly across the organization.
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:
Deep knowledge of K8s technologies, and an understanding of compute architecture or networking stack.
Demonstrated success working with or in GSI partners, developer-centric teams, or large enterprise customers.
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.
Previous roles in leading early access programs, proof of concepts, and field enablement.
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!
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.”
