Senior Product Manager, DGX Product Management at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Technology, Data CenterIndustries

Requirements

Demonstrated ability to fully contribute in one or more key areas within 3 months
Deep understanding of cloud technologies, containerization with 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, including large-scale GPUs, CPUs, storage, networking, and infrastructure software
Experience with NVIDIA tools and ecosystems like CUDA, DCGM, UFM (highly valued)
Ability to lead discussions, coordinate among diverse collaborators, and act as a trusted advisor
Strong desire to learn, problem-solving skills, and 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
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, parallel computing, deployment and operation of systems at large scale, resilient system design, and clustering compute resources

Responsibilities

Own the complete product lifecycle—from NPI through development, go-to-market, to obsolescence—for NVIDIA’s latest DGX SuperPOD leveraging NVIDIA GPUs and purpose-designed CPUs to drive adoption in the Enterprise market
Define product requirements and user stories by channeling 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, monitoring resolution to maintain product velocity and reliability
Handle customer happiness issues and improve customer experience by managing 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

Skills

Product Management

DGX SuperPOD

Enterprise AI

GPUs

CPUs

Compute Architecture

Networking

Storage Architecture

Product Roadmaps

NPI

User Stories

Bug Tracking

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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