Senior Product Manager, DGX Product Management
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Marketing @ 4 Docker @ 7 Kubernetes @ 7 Networking @ 4 Product Management @ 8 CUDA @ 4 GPU @ 4Details
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. 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.
Responsibilities
- Own the complete product lifecycle—from NPI through development and go-to-market to obsolescence for NVIDIA’s DGX SuperPOD leveraging industry-leading NVIDIA GPUs and purpose-designed NVIDIA CPUs to drive adoption of NVIDIA technologies in the Enterprise market.
- Define product requirements and user stories using customer needs, solution-architecture feedback, and cross-team input; develop comprehensive product roadmaps that prioritize ecosystem growth.
- Proactively identify, document, and track critical bugs and feature requests; monitor resolution to maintain product velocity and reliability.
- Handle customer happiness issues and improve customer experience by managing deployment challenges.
- Develop 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.
Requirements
- Demonstrated ability to fully contribute in one or more of the areas above within 3 months.
- Deep understanding of cloud technologies and containerization (Docker and Kubernetes).
- 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, building products that encompass large-scale GPUs, CPUs, storage, networking, and infrastructure software.
- Experience with NVIDIA tools and ecosystems such as CUDA, DCGM, UFM is highly valued.
- Ability to lead discussions, coordinate among diverse collaborators, and act as a trusted advisor.
- Strong desire to learn, problem-solving skills, and the ability to make sophisticated trade-offs.
- 12+ years of total experience in technology with product management or engineering experience in 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
- In-depth knowledge of deep learning workflows and experience in Generative 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.
Compensation & Benefits
- Base salary range: 208,000 USD - 327,750 USD (base salary will be determined based on location, experience, and pay of employees in similar positions).
- You will also be eligible for equity and benefits (see NVIDIA benefits page).
Additional information
- 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. The company does 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.