Senior Product Manager – Datacenter GPU 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, SemiconductorsIndustries

Requirements

BS/MS or equivalent experience in EE, CE, CS, or a related technical field
10+ years of experience in product management or engineering
Demonstrated ability in product management, solutions architecture, or platform engineering with an emphasis on data center systems
Detailed understanding of GPU/accelerated compute architectures and their contributions to AI, HPC, and distributed storage systems
Experience with storage, security, networking, and high-performance computing workflows
Shown success in moving products from concept to launch and broad customer adoption
Excellent interpersonal skills and cross-functional collaboration abilities
Blend of technical depth and strategic perspective
Highly analytical and able to prioritize several projects simultaneously
Ways to Stand Out
Comprehensive knowledge of AI model training/inference and secure workflows
Experience defining GPU, servers, data center infrastructure, or disaggregated architectures (GPU/DPU/accelerators)
Consistent track record in outlining hardware/software roadmaps for compute platforms

Responsibilities

Lead the full product lifecycle for data center GPUs—architecture definition, feature prioritization, roadmap, launch, and scale-out adoption
Define hardware, system, and software requirements across compute, networking, storage, and security to support AI, HPC, cloud graphics and video workloads
Partner with customers to capture requirements, validate designs, and ensure platform success in diverse data center environments
Conduct market and competitive analysis to drive next-generation GPU, interconnect, and system strategy
Drive alignment with engineering, architecture, operations, and supply chain teams to deliver products on time and at scale
Build reference architectures and data center deployment models for AI training, inference, and accelerated compute workloads
Create technical collateral (white papers, briefs, specifications, solution guides) and support customer-facing engagements
Position NVIDIA’s accelerated compute solutions to technical and executive audiences, articulating performance, TCO, and AI workload benefits

Skills

Key technologies and capabilities for this role

Product ManagementGPUData CenterAIHPCProduct LifecycleRoadmapMarket AnalysisCompetitive AnalysisHardware RequirementsSoftware RequirementsComputeNetworkingStorageSecurityCloud GraphicsReference ArchitecturesWhite Papers

Questions & Answers

Common questions about this position

What experience level is required for this Senior Product Manager role?

The role requires 10+ years of experience in product management or engineering.

What education is needed for this position?

A BS/MS or equivalent experience in EE, CE, CS, or a related technical field is required.

What key skills are essential for success in this role?

Candidates need a detailed understanding of GPU/accelerated compute architectures for AI, HPC, and distributed storage systems, plus experience with storage, security, networking, and high-performance computing workflows. Excellent interpersonal skills, cross-functional collaboration, analytical abilities, and the capacity to prioritize multiple projects are also required.

What is the work environment like at NVIDIA?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work.

What makes a candidate stand out for this role?

Candidates stand out with comprehensive knowledge in relevant areas, demonstrated success in moving products from concept to launch and broad customer adoption, and a blend of technical depth and strategic perspective.

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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