Senior Technical Product Manager - DGX Systems and AI Infrastructure 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, High-Performance Computing, TechnologyIndustries

Requirements

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
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

Responsibilities

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

Skills

Kubernetes

Product Management

AI Infrastructure

DGX Systems

GPU Architectures

HPC Workloads

LLM Training

Inference

Bare-Metal Orchestration

Cloud-Native Integration

PRDs

Enterprise Platforms

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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