Senior Product Manager – AI Networking Orchestration at NVIDIA

Santa Clara, California, United States

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$168,000 – $327,750Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Datacenter Communication InfrastructureIndustries

Requirements

BS/MS in engineering or equivalent experience
8+ years of software experience in the Networking Industry
Deep Linux knowledge (user space, kernel, and tools)
Expertise in Open source development process and lifecycle management
Self-starter with a “can-do” attitude and ability to multitask and prioritize
Strong analytical, marketing, and project management skills
Excellent communication and presentation abilities
Excellent interpersonal skills, peer networking, and team play
Strong background in modern Data Center networking, including AI techniques for Network Telemetry and Automation. (Preferred)
Experience with deep learning, data science, and NVIDIA GPUs. (Preferred)
Successful management of technical products throughout their lifecycle. (Preferred)
Passion for technology. (Preferred)

Responsibilities

Managing a network orchestration system through its complete lifecycle – from business strategy to R&D tradeoffs to go-to-market
Defining use cases, examples, and tools to communicate product value and position to various audiences (technical and executive)
Collecting requirements to define future products, including competitive analysis and customer feedback
Working closely with partners to ensure products are launched on time and to understand customer use cases and workflows

Skills

Key technologies and capabilities for this role

LinuxLinux KernelLinux User SpaceOpen Source DevelopmentNetworkingNetwork OrchestrationTelemetry SystemsProduct Management

Questions & Answers

Common questions about this position

What is the salary range for this Senior Product Manager role?

The base salary range is $168,000 - $327,750 USD. Equity and benefits are also offered.

Is this position remote or does it require office work?

This information is not specified in the job description.

What are the key skills required for this role?

Candidates need 8+ years of software experience in the Networking Industry, deep Linux knowledge (user space, kernel, and tools), and expertise in open source development process and lifecycle management. Soft skills include being a self-starter with strong analytical, marketing, project management, communication, and interpersonal skills.

What is the company culture like at NVIDIA?

NVIDIA fosters a culture of innovation and works with talented, forward-thinking individuals, making it one of the technology world’s most desirable employers.

What makes a strong candidate for this position?

A strong candidate will have a BS/MS in engineering or equivalent, 8+ years in networking software, deep Linux expertise, open source experience, and preferred background in data center networking, AI techniques, deep learning, data science, NVIDIA GPUs, and product lifecycle management, along with a passion for technology.

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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