Product Manager - DGX Serviceability at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Technology, Data Center, HardwareIndustries

Requirements

  • Deep understanding of systems and familiarity with accelerated compute, network technologies
  • Proven experience with handling system components, building and defining the content for field procedures
  • Experience with specific NVIDIA tools and ecosystems like CUDA, DCGM, UFM, etc. is highly valued
  • Hands on experience with deploying operating and managing solutions in the Data Center
  • Proficiency in 3D tools, including CAD and rendering software, is essential
  • A strong desire to learn, problem-solving skills, and a demonstrated 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

Responsibilities

  • Own the Serviceability aspect of the DGX product lifecycle—from development and go-to-market to obsolescence
  • Leverage strong technical background to define product requirements and user stories by channeling customer needs, solution-architecture feedback, and cross-team input within NVIDIA; and develop a comprehensive plan that addresses product serviceability
  • Develop effective collateral—including service guides, tools and procedures for NVIDIA, partners and customers
  • Develop service labels, product component numbering, system indicators, and user interface aides
  • Collaborate to improve system packaging for ease of installation and secure shipment
  • Work with engineering to improve customer experience for system deployment and firmware lifecycle management
  • Conduct Out Of Box Experience

Skills

Product Management
Serviceability
Technical Requirements
User Stories
Service Guides
System Packaging
Compute Architecture
Networking
Storage Architecture
Hardware Engineering
Installation Procedures
Engineering Collaboration

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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