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 will be doing:
Own the product lifecycle for DGX systems—from concept through launch and lifecycle management.
Understand and articulate the unique value propositions of different DGX architectures (e.g., H100, B200, GB200, etc.) and how they map to specific AI and HPC workloads.
Define and prioritize use cases and reference architectures for key verticals including LLM training, inference at scale, data processing pipelines, and AI research platforms.
Define system-level requirements (PRDs) including platform software stacks and cloud-native integration.
Collaborate with engineering, architecture, and go-to-market teams to align product features, roadmaps and messaging with market needs.
Drive product strategy and roadmap for scale-up and scale-out AI infrastructure.
Leverage networking architecture knowledge (e.g., InfiniBand, Ethernet, NVLink, NVSwitch) to enable scalable, high-performance AI clusters.
Collaborate with datacenter infrastructure and deployment teams to understand power, cooling, rack-level integration, and orchestration challenges.
What We Need to See:
BS or MS degree in Computer Science, Computer Engineering, or similar field or equivalent experience
8+ years of product management, or similar, experience at a technology company with a technology first attitude
Deep understanding of full-stack AI infrastructure knowledge from hardware to platform software
Strong communication and interpersonal skills
Strong program management skills - very organized with the ability to multitask and prioritize in a demanding environment
A curious mind and a hungry soul
Ways to Stand Out from the Crowd:
Experience deploying systems at scale in modern data center environments
Successful management of technical products in fast paced environment throughout their lifecycle
Understanding of modern AIOps architectures and an intuition for how to optimize their performance
Agentic AI development and application experience.
Direct development experience with NVIDIA software, hardware and SDKs
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant, forward-thinking and hardworking people in the world working for us. There has never been a more exciting time to join!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 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.”
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