Senior Technical Product Manager - 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

Technology, AI, Data CenterIndustries

Requirements

BS or MS degree in Computer Science, Computer Engineering, or similar field (or equivalent experience)
12+ years of product management, or similar, experience at a technology company serving enterprises
Proven track record in product management, particularly within the technology sector, with experience serving enterprise customers
Deep understanding of AI/ML infrastructure, high-performance computing (HPC) and networking; cloud technologies (IaaS, PaaS) such as containerization, Kubernetes and automation tools
Familiarity with AI/ML training and inference, Large Language Models (LLMs), Generative AI (Gen AI), and relevant frameworks and libraries
Strong leadership, communication, and interpersonal skills to collaborate effectively with cross-functional teams and influence collaborators
Strategic and analytical thinking: Ability to balance high-level strategy with detailed planning, analyze market data, and make data-driven decisions
Understanding of the product lifecycle: Lead the product lifecycle from ideation to launch and post-launch support

Responsibilities

Define product strategy and solutions for NVIDIA's Enterprise Infrastructure products using NVIDIA DGX and NVIDIA Networking
Create GTM Collaterals and evangelize to the customers
Distill insights from strategic customers and partners to define, prioritize and complete product roadmaps
Engage with internal collaborators and ecosystem partners to define solutions that improve customer experience and efficiency at the data center solution level
Create GTM Collaterals and act as the evangelist with sales and marketing teams for new DGX solutions

Skills

Kubernetes

Containerization

AI/ML

HPC

Networking

IaaS

PaaS

LLMs

Generative AI

Automation Tools

NVIDIA DGX

NVIDIA Networking

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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