NVIDIA
Senior Product Manager, DGX Product Management
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. 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. 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.
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.
Leverage strong technical background to define product requirements and user stories, prioritize ecosystem growth, and develop comprehensive product roadmaps.
Proactively identify, document, and track critical bugs and feature requests, handling customer happiness issues and improving customer experience.
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 (Docker, Kubernetes), accelerated compute, network technologies (InfiniBand, Ethernet), and storage.
Proven experience with the complete software stack for AI/ML/HPC data centers.
Experience with NVIDIA tools and ecosystems like CUDA, DCGM, UFM, etc.
Ability to lead discussions, coordinate among diverse collaborators, and act as a trusted advisor.
Strong desire to learn, problem‑solving skills, and 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. MBA is a plus.
Ways To Stand Out From The Crowd
In-depth knowledge of deep learning workflows, experience in Gen AI and 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 at large scale, resilient system design, and clustering compute resources.
Your base salary will be determined based on location, experience, and comparable positions. The base salary range is $208,000 – $327,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 29, 2025.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
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At NVIDIA, be a part of a diverse, collaborative environment that motivates all team members to excel in their work. 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.
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.
Leverage strong technical background to define product requirements and user stories, prioritize ecosystem growth, and develop comprehensive product roadmaps.
Proactively identify, document, and track critical bugs and feature requests, handling customer happiness issues and improving customer experience.
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 (Docker, Kubernetes), accelerated compute, network technologies (InfiniBand, Ethernet), and storage.
Proven experience with the complete software stack for AI/ML/HPC data centers.
Experience with NVIDIA tools and ecosystems like CUDA, DCGM, UFM, etc.
Ability to lead discussions, coordinate among diverse collaborators, and act as a trusted advisor.
Strong desire to learn, problem‑solving skills, and 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. MBA is a plus.
Ways To Stand Out From The Crowd
In-depth knowledge of deep learning workflows, experience in Gen AI and 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 at large scale, resilient system design, and clustering compute resources.
Your base salary will be determined based on location, experience, and comparable positions. The base salary range is $208,000 – $327,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 29, 2025.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
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